Data

Valtech

ADOBE ANALYTICS & CUSTOMER DATA CONSULTANT (ALL GENDERS) Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. * Work on large-scale Analytics, Personalization, and AI transformation programs.  * Partner with some of the world's leading brands.  * Shape the future of customer experience through data and AI.  * Collaborate with experts across Analytics, Data Engineering, Customer Experience, Personalization, and AI.  * Develop expertise across the Adobe Experience Cloud ecosystem and next-generation customer data platforms.s THE OPPORTUNITY At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.  We are proud of:  * The work we do and the innovation we drive * Our values of share, care and dare * A workplace culture that fosters creativity, diversity and autonomy * Our borderless, global framework, which enables seamless collaboration THE ROLE  As part of our Data & AI team, you will help leading brands unlock the value of their customer and marketing data through Analytics, Customer Experience, Personalization, and AI initiatives.  You will act as a bridge between business, marketing, and technology teams, helping clients design and implement modern digital analytics, customer data, and audience activation solutions across the Adobe ecosystem.  As an Adobe Analytics & Customer Data Consultant (all genders), you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring +6 years of experience, a growth mindset and a drive to make a lasting impact.  You will thrive in this role if you are:  * A curious problem solver who challenges the status quo  * A collaborator who values teamwork and knowledge-sharing  * Excited by the intersection of technology, creativity and data  * Experienced in Agile methodologies and consulting (a plus)  Role responsibilities * Lead Analytics and customer data initiatives for major international clients.  * Design and implement measurement strategies, tracking plans, and data collection frameworks. * Configure and optimize Adobe Analytics, Customer Journey Analytics (CJA).  * Support audience creation, segmentation, and activation use cases.  * Contribute to Customer 360 and customer data platform (CDP) initiatives.  * Design and develop robust, scalable data pipelines. * Translate business and marketing requirements into scalable data solutions.  * Collaborate with Data Engineering, AI, Personalization, and Customer Experience teams.  * Collaborate closely with Data Science, Analytics, AI, and Customer Experience teams.  * Support clients in leveraging customer data for personalization and AI-driven experiences.  * Participate in innovation initiatives around AI, Generative AI, and next-generation customer experiences. MUST HAVE QUALIFICATIONS To be considered for this role, you must meet the following essential qualifications: * +6 years of experience in Digital Analytics, Customer Data, or Marketing Technology.  * Strong experience with Adobe Analytics.  * Experience designing measurement frameworks and tracking strategies.  * Strong understanding of digital customer journeys and marketing performance measurement.  * Experience working with web and mobile analytics implementations.  * Ability to translate business needs into data and analytics solutions.  * Strong stakeholder management and communication skills.  * Adobe Analytics certification. * Experience working in consulting or digital transformation environments.  * Strong understanding of customer experience, personalization, and marketing technology ecosystems. * Curiosity for emerging technologies, AI, and Generative AI.  * Ability to engage both business stakeholders and technical teams. * Proactive, client-focused, and solution-oriented mindset.  NICE TO HAVE QUALIFICATIONS * Experience with Adobe Customer Journey Analytics (CJA).  * Experience with Adobe Experience Platform (AEP).  * Experience with Real-Time CDP or other Customer Data Platforms (Hightouch, Lytics) * Knowledge of audience segmentation and activation.  * Experience with GTM, Adobe Tags, or tag management solutions.  * Understanding of data engineering concepts and modern cloud data platforms such as Snowflake, BigQuery, Databricks, or Azure.  * SQL knowledge.  * Experience with AI and personalization use cases.  If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. COMMITMENT TO REACHING ALL KINDS OF PEOPLE We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.  THE BENEFITS This is a permanent position based in Paris/France. Beyond a competitive compensation package, we offer:  * Flexibility, with remote and hybrid work options (country-dependent)  * Career advancement, with international mobility and professional development programs * Learning and development, with access to cutting-edge tools, training and industry experts Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process.  YOUR APPLICATION PROCESS Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps. ⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses ending in @valtech.com. We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.  ABOUT VALTECH Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.  At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.  At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.  Are you ready to create what’s next? Join us. As per the AGG (General Equal Treatment Act) in Germany and equivalent in France, jobs must be advertised in a gender-neutral manner. We use the statement (all genders) to make it clear that this position is open to all genders in these countries, even if the job title itself can be translated or interpreted as "masculine" in the French or German language.

Valtech

SENIOR DATA ARCHITECT — SNOWFLAKE & AI (ALL GENDERS) Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. * Lead high-impact data architecture mandates for some of the world's most recognised brands and major enterprise accounts — including luxury, retail, and global B2B leaders. * Work at the forefront of AI-augmented data engineering, leveraging the latest Snowflake Cortex capabilities. * Collaborate with a senior network of data, AI, and strategy experts across Valtech's global practices. * Shape how our clients' data teams operate — not just deliver a project but build lasting capability. * Develop your consulting and technical expertise with full support from Valtech's Academy and community of practice. THE OPPORTUNITY At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.  We are proud of:  * The work we do and the innovation we drive * Our values of share, care and dare * A workplace culture that fosters creativity, diversity and autonomy * Our borderless, global framework, which enables seamless collaboration THE ROLE   As a Senior Data Architect — Snowflake & AI (all genders), you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring +10 years of experience, a growth mindset and a drive to make a lasting impact. As part of our Data & AI practice, you will work with major enterprise clients and global strategic accounts to help them transform and future-proof their data platforms — bringing both deep Snowflake mastery and strategic consulting expertise. You will act as lead architect and trusted advisor, guiding clients from data strategy through hands-on implementation, while championing AI-augmented engineering practices through Snowflake Cortex. You will thrive in this role if you are:  * A curious problem solver who challenges the status quo  * A collaborator who values teamwork and knowledge-sharing  * Excited by the intersection of technology, creativity and data  * Experienced in Agile methodologies and consulting (a plus)  ROLE RESPONSIBILITIES Consulting & Advisory * Lead data architecture engagements as the primary client-facing consultant, owning the relationship with technical and business stakeholders. * Define and communicate data strategies aligned with client business objectives — from initial framing to executive presentation. * Facilitate workshops, conduct discovery sessions, and co-create transformation roadmaps with client teams. * Build and deliver structured consulting deliverables: architecture blueprints, AI-readiness assessments, governance playbooks, prompt libraries. * Coach and upskill client data engineers on modern data practices, AI tooling, and Snowflake Cortex capabilities. * Serve as the escalation point for complex architectural decisions, ensuring alignment across business, IT, and data teams. Technical Architecture & Engineering * Design and implement enterprise-grade Snowflake data architectures (data warehouse, data lakehouse, data mesh patterns). * Lead the adoption of Snowflake Cortex for AI-native use cases: LLM-powered pipelines, intelligent data agents, and automated data workflows. * Define data modeling standards (dimensional modeling, data vault, star schema) and govern their application across teams. * Architect and oversee scalable ELT pipelines using dbt, Fivetran, and custom connectors. * Drive data governance, access controls, security, and cost management best practices within Snowflake. * Implement data quality frameworks and observability tooling (Monte Carlo, Datafold) with full lineage tracking. * Establish CI/CD practices and DevOps standards for data platform deployments. MUST HAVE QUALIFICATIONS To be considered for this role, you must meet the following essential qualifications: * +10 years of experience in data engineering or data architecture, with at least 5 years in a client-facing consulting or advisory role. * Expert-level mastery of Snowflake: architecture, performance tuning, access controls, security, and Cortex AI features. * Proven ability to lead complex data transformation programs from design through delivery. * Strong experience with dbt, Fivetran/Stitch, Airflow, or equivalent orchestration tools. * Deep knowledge of data modeling techniques and modern data stack best practices. * Excellent communication and facilitation skills in French and English (C1) — able to present architecture choices to a CTO and explain them to a data engineer. * Demonstrated ability to build trust with clients and drive organisational change. What makes you stand out * You think like a consultant first, an engineer second — you shape solutions, not just build them. * You have delivered transformation programs leaving behind a playbook, a trained team, and measurable outcomes. * You are energised by working across multiple client environments and bringing cross-industry patterns to each engagement. * You can challenge a client's thinking constructively while maintaining trust and momentum. * You have a genuine curiosity for AI, generative models, and the future of data engineering. NICE TO HAVE QUALIFICATIONS * Hands-on experience with Snowflake Cortex AI features: LLM Functions, Cortex Analyst, Cortex Agents. * Knowledge of agentic AI frameworks, prompt engineering, and AI-assisted data engineering workflows. * Experience with reverse ETL platforms (Hightouch, Census) and CDP architectures. * Familiarity with streaming data platforms (Kafka, Kinesis, Pub/Sub) and real-time data patterns. * Cloud platforms experience (GCP, AWS, Azure) and their native data services. * Knowledge of data catalog and governance tools (Alation, Collibra, DataHub). * SQL fluency and Python scripting proficiency. PREFERRED CERTIFICATIONS * Snowflake SnowPro Core + Advanced/Architect (strongly preferred). * dbt Analytics Engineering certification (a plus). If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. COMMITMENT TO REACHING ALL KINDS OF PEOPLE We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.  THE BENEFITS   This is a permanent position based in Paris/France. Beyond a competitive compensation package, we offer:  * Flexibility, with remote and hybrid work options (country-dependent)  * Career advancement, with international mobility and professional development programs * Learning and development, with access to cutting-edge tools, training and industry experts Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process. YOUR APPLICATION PROCESS Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps. ⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses ending in @valtech.com. We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.  ABOUT VALTECH Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.  At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.  At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.  ARE YOU READY TO CREATE WHAT’S NEXT? JOIN US. As per the AGG (General Equal Treatment Act) in Germany and equivalent in France, jobs must be advertised in a gender-neutral manner. We use the statement (all genders) to make it clear that this position is open to all genders in these countries, even if the job title itself can be translated or interpreted as "masculine" in the French or German language.

Valtech

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience.  THE OPPORTUNITY At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.  We are proud of:  * The work we do and the innovation we drive  * Our values of share, care and dare  * A workplace culture that fosters creativity, diversity and autonomy  * Our borderless, global framework, which enables seamless collaboration  The role   We are looking for an experienced Senior Data Engineer to design, build, and optimize modern, cloud-based data platforms that power analytics, AI, and data products across the organization. Beyond technical delivery, we're looking for someone genuinely curious about the business problems behind the data — someone who can apply common sense thinking, detailed analysis, and experience-based recommendations to help derive and shape business requirements, not just implement them as given. You will work on scalable batch, streaming, and near-real-time pipelines, enabling high-quality, curated datasets while ensuring robust data governance, security, and observability across the data ecosystem. You will also play a key role in supporting AI and GenAI systems, enabling pipelines for machine learning, causal modeling, and LLM-powered applications such as RAG and agent-based systems. Our preferred platforms are Microsoft Azure / Fabric (primary), GCP, AWS, Databricks, and Snowflake, with Azure experience being highly transferable to Fabric. You will collaborate closely with data scientists, ML engineers, and platform teams to ensure the data foundation supports production-grade, decision-oriented AI systems. Role responsibilities Build & Data Platform Engineering Design and implement scalable data platforms and pipelines across cloud environments (Azure/Fabric, AWS, GCP, Databricks, Snowflake). This includes developing reliable batch, streaming, and near-real-time pipelines using technologies such as Spark and Delta Lake, and building ingestion, transformation, and curation workflows for both structured and unstructured data. You will implement modern data architectures including lakehouse patterns and medallion layering (bronze, silver, gold), ensuring systems are reusable, scalable, and aligned with enterprise needs. Enable AI, GenAI & Data Products Deliver high-quality datasets that support analytics, machine learning, causal modeling, and optimization systems. You will enable data pipelines for GenAI use cases (including LLMs, RAG pipelines, and vector-based data flows), as well as agent-based architectures and intelligent workflows, ensuring that data is model-ready and production-grade. Data Modeling, Orchestration & Automation Design scalable logical and physical data models for analytical and operational use cases, ensuring consistency across domains. Orchestrate workflows using tools such as Airflow, dbt, Lakeflow, or equivalents, with strong focus on automation, reliability, and maintainability of end-to-end pipelines. Architecture, Governance & Observability Apply modern architecture patterns including event-driven and streaming architectures, and ensure adherence to best practices in data governance, lineage, quality, and access control (RBAC/ABAC). Establish strong data observability, including monitoring of data freshness, pipeline reliability, and SLA adherence, ensuring systems remain trustworthy and production-ready. Data Serving, Integration & Optimization Enable data serving layers (APIs, feature inputs, analytical endpoints) to support downstream systems, including ML and AI platforms. Continuously monitor and optimize pipelines and infrastructure for performance, scalability, and cost efficiency. Requirements Discovery & Business Partnership Bring genuine curiosity to every engagement — ask the right questions to understand not just what stakeholders are asking for, but why. Apply common sense thinking, detailed analysis, and experience-based recommendations to help derive and refine business requirements, surfacing gaps or better alternatives where they exist rather than simply executing a brief as written. Collaboration Work closely with data scientists, ML engineers, analysts, and business stakeholders to translate requirements into robust data solutions. Support adoption of data products and contribute to best practices across the data and AI ecosystem. Must have qualifications Technical skills Strong hands-on experience with Apache Spark and Delta Lake, and strong programming skills in Python and SQL. Proven experience building batch and streaming data pipelines and production-grade data platforms, with solid understanding of data modeling, data quality, and governance principles. Cloud & Platforms (Key Requirement) Experience with one or more major cloud platforms, with preference for Microsoft Azure / Fabric, as well as AWS or GCP. Familiarity with modern data platforms such as Databricks and Snowflake is expected. Architecture & Systems Thinking Experience with lakehouse architectures and distributed data systems, and strong understanding of scalability, reliability, and performance considerations in data pipelines. Mindset Naturally curious, with strong problem-solving skills focused on scalability and reliability, and a collaborative approach to working in cross-functional teams. Comfortable applying common sense thinking, detailed analysis, and experience-based recommendations to help derive and challenge business requirements rather than taking them at face value. Experience in Agile or consulting environments is beneficial. Nice to have qualifications   Experience with GenAI and AI data systems (e.g., RAG pipelines, vector databases, LLM data preparation), as well as CI/CD for data pipelines and infrastructure-as-code tools such as Terraform, ARM, or CloudFormation.  Additional exposure to streaming technologies (e.g., Kafka), Spark optimization, or advanced analytics and ML workloads (including causal or experimentation platforms) is valuable. Experience building data products or large-scale analytics platforms is also beneficial.  Commitment to reaching all kinds of people  We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.  THE BENEFITS   This is a Full time position based in Kosovo.  Beyond a competitive compensation package, we offer:   * Health insurance that guarantees fast access to contracted health services * Vacation Plan * Subsidy for study materials, trainings, conferences and events that will contribute to your development * Hybrid Working model * Performance Evaluation Process that paves the roadmap for a personal and professional career development * Refreshments and fruit in the office * Team gatherings and parties organized and subsidized by the company YOUR APPLICATION PROCESS Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential. ⚠️ Beware of recruitment fraud! We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.  ABOUT VALTECH Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.  At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.  At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.  Are you ready to create what’s next? Join us.

Valtech

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience.  THE OPPORTUNITY At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.  We are proud of:  * The work we do and the innovation we drive  * Our values of share, care and dare  * A workplace culture that fosters creativity, diversity and autonomy  * Our borderless, global framework, which enables seamless collaboration  The role   We are looking for an experienced Senior Data Engineer to design, build, and optimize modern, cloud-based data platforms that power analytics, AI, and data products across the organization. Beyond technical delivery, we're looking for someone genuinely curious about the business problems behind the data — someone who can apply common sense thinking, detailed analysis, and experience-based recommendations to help derive and shape business requirements, not just implement them as given. You will work on scalable batch, streaming, and near-real-time pipelines, enabling high-quality, curated datasets while ensuring robust data governance, security, and observability across the data ecosystem. You will also play a key role in supporting AI and GenAI systems, enabling pipelines for machine learning, causal modeling, and LLM-powered applications such as RAG and agent-based systems. Our preferred platforms are Microsoft Azure / Fabric (primary), GCP, AWS, Databricks, and Snowflake, with Azure experience being highly transferable to Fabric. You will collaborate closely with data scientists, ML engineers, and platform teams to ensure the data foundation supports production-grade, decision-oriented AI systems. Role responsibilities Build & Data Platform Engineering Design and implement scalable data platforms and pipelines across cloud environments (Azure/Fabric, AWS, GCP, Databricks, Snowflake). This includes developing reliable batch, streaming, and near-real-time pipelines using technologies such as Spark and Delta Lake, and building ingestion, transformation, and curation workflows for both structured and unstructured data. You will implement modern data architectures including lakehouse patterns and medallion layering (bronze, silver, gold), ensuring systems are reusable, scalable, and aligned with enterprise needs. Enable AI, GenAI & Data Products Deliver high-quality datasets that support analytics, machine learning, causal modeling, and optimization systems. You will enable data pipelines for GenAI use cases (including LLMs, RAG pipelines, and vector-based data flows), as well as agent-based architectures and intelligent workflows, ensuring that data is model-ready and production-grade. Data Modeling, Orchestration & Automation Design scalable logical and physical data models for analytical and operational use cases, ensuring consistency across domains. Orchestrate workflows using tools such as Airflow, dbt, Lakeflow, or equivalents, with strong focus on automation, reliability, and maintainability of end-to-end pipelines. Architecture, Governance & Observability Apply modern architecture patterns including event-driven and streaming architectures, and ensure adherence to best practices in data governance, lineage, quality, and access control (RBAC/ABAC). Establish strong data observability, including monitoring of data freshness, pipeline reliability, and SLA adherence, ensuring systems remain trustworthy and production-ready. Data Serving, Integration & Optimization Enable data serving layers (APIs, feature inputs, analytical endpoints) to support downstream systems, including ML and AI platforms. Continuously monitor and optimize pipelines and infrastructure for performance, scalability, and cost efficiency. Requirements Discovery & Business Partnership Bring genuine curiosity to every engagement — ask the right questions to understand not just what stakeholders are asking for, but why. Apply common sense thinking, detailed analysis, and experience-based recommendations to help derive and refine business requirements, surfacing gaps or better alternatives where they exist rather than simply executing a brief as written. Collaboration Work closely with data scientists, ML engineers, analysts, and business stakeholders to translate requirements into robust data solutions. Support adoption of data products and contribute to best practices across the data and AI ecosystem. Must have qualifications Technical skills Strong hands-on experience with Apache Spark and Delta Lake, and strong programming skills in Python and SQL. Proven experience building batch and streaming data pipelines and production-grade data platforms, with solid understanding of data modeling, data quality, and governance principles. Cloud & Platforms (Key Requirement) Experience with one or more major cloud platforms, with preference for Microsoft Azure / Fabric, as well as AWS or GCP. Familiarity with modern data platforms such as Databricks and Snowflake is expected. Architecture & Systems Thinking Experience with lakehouse architectures and distributed data systems, and strong understanding of scalability, reliability, and performance considerations in data pipelines. Mindset Naturally curious, with strong problem-solving skills focused on scalability and reliability, and a collaborative approach to working in cross-functional teams. Comfortable applying common sense thinking, detailed analysis, and experience-based recommendations to help derive and challenge business requirements rather than taking them at face value. Experience in Agile or consulting environments is beneficial. Nice to have qualifications   Experience with GenAI and AI data systems (e.g., RAG pipelines, vector databases, LLM data preparation), as well as CI/CD for data pipelines and infrastructure-as-code tools such as Terraform, ARM, or CloudFormation.  Additional exposure to streaming technologies (e.g., Kafka), Spark optimization, or advanced analytics and ML workloads (including causal or experimentation platforms) is valuable. Experience building data products or large-scale analytics platforms is also beneficial.  Commitment to reaching all kinds of people  We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.  THE BENEFITS   This is a Full time position based in Ukraine.  Beyond a competitive compensation package, we offer:  * Mental and physical health: * Medical insurance  * Sports reimbursement budget  * Home office support  * A number of free psychological and legal consultations  * Maternity and paternity leave support  * Personal and professional development: * Internal workshops and learning initiatives  * English language classes compensation  * Professional certifications reimbursement  * Participation in professional local and global communities * Growth Framework to manage expectations and define the steps to move towards the selected career  * Mentoring program with the ability to become a mentor or a mentee to grow to a higher position  * Valtech Ukraine has a system of progressive benefits packages in place — the longer you stay with the company — the more benefits you get.  YOUR APPLICATION PROCESS Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential. ⚠️ Beware of recruitment fraud! We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.  ABOUT VALTECH Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.  At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.  At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.  Are you ready to create what’s next? Join us.

Valtech

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience.  THE OPPORTUNITY At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.  We are proud of:  * The work we do and the innovation we drive  * Our values of share, care and dare  * A workplace culture that fosters creativity, diversity and autonomy  * Our borderless, global framework, which enables seamless collaboration  The role   We are looking for an experienced Senior Data Engineer to design, build, and optimize modern, cloud-based data platforms that power analytics, AI, and data products across the organization. Beyond technical delivery, we're looking for someone genuinely curious about the business problems behind the data — someone who can apply common sense thinking, detailed analysis, and experience-based recommendations to help derive and shape business requirements, not just implement them as given. You will work on scalable batch, streaming, and near-real-time pipelines, enabling high-quality, curated datasets while ensuring robust data governance, security, and observability across the data ecosystem. You will also play a key role in supporting AI and GenAI systems, enabling pipelines for machine learning, causal modeling, and LLM-powered applications such as RAG and agent-based systems. Our preferred platforms are Microsoft Azure / Fabric (primary), GCP, AWS, Databricks, and Snowflake, with Azure experience being highly transferable to Fabric. You will collaborate closely with data scientists, ML engineers, and platform teams to ensure the data foundation supports production-grade, decision-oriented AI systems. Role responsibilities Build & Data Platform Engineering Design and implement scalable data platforms and pipelines across cloud environments (Azure/Fabric, AWS, GCP, Databricks, Snowflake). This includes developing reliable batch, streaming, and near-real-time pipelines using technologies such as Spark and Delta Lake, and building ingestion, transformation, and curation workflows for both structured and unstructured data. You will implement modern data architectures including lakehouse patterns and medallion layering (bronze, silver, gold), ensuring systems are reusable, scalable, and aligned with enterprise needs. Enable AI, GenAI & Data Products Deliver high-quality datasets that support analytics, machine learning, causal modeling, and optimization systems. You will enable data pipelines for GenAI use cases (including LLMs, RAG pipelines, and vector-based data flows), as well as agent-based architectures and intelligent workflows, ensuring that data is model-ready and production-grade. Data Modeling, Orchestration & Automation Design scalable logical and physical data models for analytical and operational use cases, ensuring consistency across domains. Orchestrate workflows using tools such as Airflow, dbt, Lakeflow, or equivalents, with strong focus on automation, reliability, and maintainability of end-to-end pipelines. Architecture, Governance & Observability Apply modern architecture patterns including event-driven and streaming architectures, and ensure adherence to best practices in data governance, lineage, quality, and access control (RBAC/ABAC). Establish strong data observability, including monitoring of data freshness, pipeline reliability, and SLA adherence, ensuring systems remain trustworthy and production-ready. Data Serving, Integration & Optimization Enable data serving layers (APIs, feature inputs, analytical endpoints) to support downstream systems, including ML and AI platforms. Continuously monitor and optimize pipelines and infrastructure for performance, scalability, and cost efficiency. Requirements Discovery & Business Partnership Bring genuine curiosity to every engagement — ask the right questions to understand not just what stakeholders are asking for, but why. Apply common sense thinking, detailed analysis, and experience-based recommendations to help derive and refine business requirements, surfacing gaps or better alternatives where they exist rather than simply executing a brief as written. Collaboration Work closely with data scientists, ML engineers, analysts, and business stakeholders to translate requirements into robust data solutions. Support adoption of data products and contribute to best practices across the data and AI ecosystem. Must have qualifications Technical skills Strong hands-on experience with Apache Spark and Delta Lake, and strong programming skills in Python and SQL. Proven experience building batch and streaming data pipelines and production-grade data platforms, with solid understanding of data modeling, data quality, and governance principles. Cloud & Platforms (Key Requirement) Experience with one or more major cloud platforms, with preference for Microsoft Azure / Fabric, as well as AWS or GCP. Familiarity with modern data platforms such as Databricks and Snowflake is expected. Architecture & Systems Thinking Experience with lakehouse architectures and distributed data systems, and strong understanding of scalability, reliability, and performance considerations in data pipelines. Mindset Naturally curious, with strong problem-solving skills focused on scalability and reliability, and a collaborative approach to working in cross-functional teams. Comfortable applying common sense thinking, detailed analysis, and experience-based recommendations to help derive and challenge business requirements rather than taking them at face value. Experience in Agile or consulting environments is beneficial. Nice to have qualifications   Experience with GenAI and AI data systems (e.g., RAG pipelines, vector databases, LLM data preparation), as well as CI/CD for data pipelines and infrastructure-as-code tools such as Terraform, ARM, or CloudFormation.  Additional exposure to streaming technologies (e.g., Kafka), Spark optimization, or advanced analytics and ML workloads (including causal or experimentation platforms) is valuable. Experience building data products or large-scale analytics platforms is also beneficial.  Commitment to reaching all kinds of people  We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.  THE BENEFITS   Beyond a competitive compensation package, we offer:  * Flexibility, with hybrid work options and 25 vacation days for a healthy work-life balance. * Co-subsidized transportation & Multisport cards. * Premium health insurance for fast and easy access to top healthcare services. * Training policy for technical and other skills-related events, courses and certifications. * Personal career development roadmap guided by performance evaluations. * Self-care program offering psychological consultations & discussions for you and the team. * Cozy office space designed for comfort and productivity. * Exciting team events and company gatherings. YOUR APPLICATION PROCESS Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential. ⚠️ Beware of recruitment fraud! We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.  ABOUT VALTECH Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.  At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.  At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.  Are you ready to create what’s next? Join us.

Valtech

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience.  THE OPPORTUNITY At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.  We are proud of:  * The work we do and the innovation we drive  * Our values of share, care and dare  * A workplace culture that fosters creativity, diversity and autonomy  * Our borderless, global framework, which enables seamless collaboration  The role   We are looking for an experienced Senior Data Engineer to design, build, and optimize modern, cloud-based data platforms that power analytics, AI, and data products across the organization. Beyond technical delivery, we're looking for someone genuinely curious about the business problems behind the data — someone who can apply common sense thinking, detailed analysis, and experience-based recommendations to help derive and shape business requirements, not just implement them as given. You will work on scalable batch, streaming, and near-real-time pipelines, enabling high-quality, curated datasets while ensuring robust data governance, security, and observability across the data ecosystem. You will also play a key role in supporting AI and GenAI systems, enabling pipelines for machine learning, causal modeling, and LLM-powered applications such as RAG and agent-based systems. Our preferred platforms are Microsoft Azure / Fabric (primary), GCP, AWS, Databricks, and Snowflake, with Azure experience being highly transferable to Fabric. You will collaborate closely with data scientists, ML engineers, and platform teams to ensure the data foundation supports production-grade, decision-oriented AI systems. Role responsibilities Build & Data Platform Engineering Design and implement scalable data platforms and pipelines across cloud environments (Azure/Fabric, AWS, GCP, Databricks, Snowflake). This includes developing reliable batch, streaming, and near-real-time pipelines using technologies such as Spark and Delta Lake, and building ingestion, transformation, and curation workflows for both structured and unstructured data. You will implement modern data architectures including lakehouse patterns and medallion layering (bronze, silver, gold), ensuring systems are reusable, scalable, and aligned with enterprise needs. Enable AI, GenAI & Data Products Deliver high-quality datasets that support analytics, machine learning, causal modeling, and optimization systems. You will enable data pipelines for GenAI use cases (including LLMs, RAG pipelines, and vector-based data flows), as well as agent-based architectures and intelligent workflows, ensuring that data is model-ready and production-grade. Data Modeling, Orchestration & Automation Design scalable logical and physical data models for analytical and operational use cases, ensuring consistency across domains. Orchestrate workflows using tools such as Airflow, dbt, Lakeflow, or equivalents, with strong focus on automation, reliability, and maintainability of end-to-end pipelines. Architecture, Governance & Observability Apply modern architecture patterns including event-driven and streaming architectures, and ensure adherence to best practices in data governance, lineage, quality, and access control (RBAC/ABAC). Establish strong data observability, including monitoring of data freshness, pipeline reliability, and SLA adherence, ensuring systems remain trustworthy and production-ready. Data Serving, Integration & Optimization Enable data serving layers (APIs, feature inputs, analytical endpoints) to support downstream systems, including ML and AI platforms. Continuously monitor and optimize pipelines and infrastructure for performance, scalability, and cost efficiency. Requirements Discovery & Business Partnership Bring genuine curiosity to every engagement — ask the right questions to understand not just what stakeholders are asking for, but why. Apply common sense thinking, detailed analysis, and experience-based recommendations to help derive and refine business requirements, surfacing gaps or better alternatives where they exist rather than simply executing a brief as written. Collaboration Work closely with data scientists, ML engineers, analysts, and business stakeholders to translate requirements into robust data solutions. Support adoption of data products and contribute to best practices across the data and AI ecosystem. Must have qualifications Technical skills Strong hands-on experience with Apache Spark and Delta Lake, and strong programming skills in Python and SQL. Proven experience building batch and streaming data pipelines and production-grade data platforms, with solid understanding of data modeling, data quality, and governance principles. Cloud & Platforms (Key Requirement) Experience with one or more major cloud platforms, with preference for Microsoft Azure / Fabric, as well as AWS or GCP. Familiarity with modern data platforms such as Databricks and Snowflake is expected. Architecture & Systems Thinking Experience with lakehouse architectures and distributed data systems, and strong understanding of scalability, reliability, and performance considerations in data pipelines. Mindset Naturally curious, with strong problem-solving skills focused on scalability and reliability, and a collaborative approach to working in cross-functional teams. Comfortable applying common sense thinking, detailed analysis, and experience-based recommendations to help derive and challenge business requirements rather than taking them at face value. Experience in Agile or consulting environments is beneficial. Nice to have qualifications   Experience with GenAI and AI data systems (e.g., RAG pipelines, vector databases, LLM data preparation), as well as CI/CD for data pipelines and infrastructure-as-code tools such as Terraform, ARM, or CloudFormation.  Additional exposure to streaming technologies (e.g., Kafka), Spark optimization, or advanced analytics and ML workloads (including causal or experimentation platforms) is valuable. Experience building data products or large-scale analytics platforms is also beneficial.  Commitment to reaching all kinds of people  We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.  THE BENEFITS   This is a position based in Portugal.  Beyond a competitive compensation package, we offer:  * Flexibility, with remote and hybrid work options (country-dependent)  * Career advancement, with international mobility and professional development programs  * Learning and development, with access to cutting-edge tools, training and industry experts  Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process.  YOUR APPLICATION PROCESS Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential. ⚠️ Beware of recruitment fraud! We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.  ABOUT VALTECH Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.  At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.  At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.  Are you ready to create what’s next? Join us.

Valtech

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience.  The opportunity At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.  We are proud of:  * The work we do and the innovation we drive  * Our values of share, care and dare  * A workplace culture that fosters creativity, diversity and autonomy  * Our borderless, global framework, which enables seamless collaboration  The role   We are looking for an experienced Senior Data Engineer to design, build, and optimize modern, cloud-based data platforms that power analytics, AI, and data products across the organization. Beyond technical delivery, we're looking for someone genuinely curious about the business problems behind the data — someone who can apply common sense thinking, detailed analysis, and experience-based recommendations to help derive and shape business requirements, not just implement them as given. You will work on scalable batch, streaming, and near-real-time pipelines, enabling high-quality, curated datasets while ensuring robust data governance, security, and observability across the data ecosystem. You will also play a key role in supporting AI and GenAI systems, enabling pipelines for machine learning, causal modeling, and LLM-powered applications such as RAG and agent-based systems. Our preferred platforms are Microsoft Azure / Fabric (primary), GCP, AWS, Databricks, and Snowflake, with Azure experience being highly transferable to Fabric. You will collaborate closely with data scientists, ML engineers, and platform teams to ensure the data foundation supports production-grade, decision-oriented AI systems. Role responsibilities Build & Data Platform Engineering Design and implement scalable data platforms and pipelines across cloud environments (Azure/Fabric, AWS, GCP, Databricks, Snowflake). This includes developing reliable batch, streaming, and near-real-time pipelines using technologies such as Spark and Delta Lake, and building ingestion, transformation, and curation workflows for both structured and unstructured data. You will implement modern data architectures including lakehouse patterns and medallion layering (bronze, silver, gold), ensuring systems are reusable, scalable, and aligned with enterprise needs. Enable AI, GenAI & Data Products Deliver high-quality datasets that support analytics, machine learning, causal modeling, and optimization systems. You will enable data pipelines for GenAI use cases (including LLMs, RAG pipelines, and vector-based data flows), as well as agent-based architectures and intelligent workflows, ensuring that data is model-ready and production-grade. Data Modeling, Orchestration & Automation Design scalable logical and physical data models for analytical and operational use cases, ensuring consistency across domains. Orchestrate workflows using tools such as Airflow, dbt, Lakeflow, or equivalents, with strong focus on automation, reliability, and maintainability of end-to-end pipelines. Architecture, Governance & Observability Apply modern architecture patterns including event-driven and streaming architectures, and ensure adherence to best practices in data governance, lineage, quality, and access control (RBAC/ABAC). Establish strong data observability, including monitoring of data freshness, pipeline reliability, and SLA adherence, ensuring systems remain trustworthy and production-ready. Data Serving, Integration & Optimization Enable data serving layers (APIs, feature inputs, analytical endpoints) to support downstream systems, including ML and AI platforms. Continuously monitor and optimize pipelines and infrastructure for performance, scalability, and cost efficiency. Requirements Discovery & Business Partnership Bring genuine curiosity to every engagement — ask the right questions to understand not just what stakeholders are asking for, but why. Apply common sense thinking, detailed analysis, and experience-based recommendations to help derive and refine business requirements, surfacing gaps or better alternatives where they exist rather than simply executing a brief as written. Collaboration Work closely with data scientists, ML engineers, analysts, and business stakeholders to translate requirements into robust data solutions. Support adoption of data products and contribute to best practices across the data and AI ecosystem. Must have qualifications Technical skills Strong hands-on experience with Apache Spark and Delta Lake, and strong programming skills in Python and SQL. Proven experience building batch and streaming data pipelines and production-grade data platforms, with solid understanding of data modeling, data quality, and governance principles. Cloud & Platforms (Key Requirement) Experience with one or more major cloud platforms, with preference for Microsoft Azure / Fabric, as well as AWS or GCP. Familiarity with modern data platforms such as Databricks and Snowflake is expected. Architecture & Systems Thinking Experience with lakehouse architectures and distributed data systems, and strong understanding of scalability, reliability, and performance considerations in data pipelines. Mindset Naturally curious, with strong problem-solving skills focused on scalability and reliability, and a collaborative approach to working in cross-functional teams. Comfortable applying common sense thinking, detailed analysis, and experience-based recommendations to help derive and challenge business requirements rather than taking them at face value. Experience in Agile or consulting environments is beneficial. Nice to have qualifications   Experience with GenAI and AI data systems (e.g., RAG pipelines, vector databases, LLM data preparation), as well as CI/CD for data pipelines and infrastructure-as-code tools such as Terraform, ARM, or CloudFormation.  Additional exposure to streaming technologies (e.g., Kafka), Spark optimization, or advanced analytics and ML workloads (including causal or experimentation platforms) is valuable. Experience building data products or large-scale analytics platforms is also beneficial.  Commitment to reaching all kinds of people  We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.  The benefits   * Private health insurance We hope you will never need it, but nevertheless, we offer private health insurance to all our employees. * Education program We never stop learning, that’s why we offer our employees an educational program with training and certification. * Wellbeing program We all deserve to live a healthy and well-balanced life. It's not an option, it's a necessity! * Free beverages Enjoy free coffee, drinks, and snacks at work, or join one of our famous company dinners. * Events We enjoy spending time together, not only at work. Ski trips, carting, laser-tag, wine tasting, picnics, cooking classes… you name it – we’ve done it! There are plenty of cool events to join and to get to know your colleagues. * Competitive conditions Besides a competitive salary and 24 days of vacation, you will join annual company events with the whole team. * Challenging projects Ready for a challenge? We guarantee you'll find challenging projects at Valtech! * Cool colleagues What's the most important thing in a job? Cool colleagues with whom you spent most of the time during the week. We have a lot of them! * Honest feedback Honesty, openness and respect are among our core values. We encourage an open feedback culture in order to build trust and grow together. Your application process Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential. ⚠️ Beware of recruitment fraud! We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.  About Valtech Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.  At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.  At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.  Are you ready to create what’s next? Join us.

Valtech

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. At Valtech, we are helping global organizations transform how they operate through Data, AI, and emerging Agentic systems. As an AI Platform Engineer, you will lead multidisciplinary teams building AI-powered applications, intelligent workflows, copilots, and agent-based solutions that create measurable business impact. We are proud of:  * The work we do and the innovation we drive  * Our values of share, care and dare  * A workplace culture that fosters creativity, diversity and autonomy  * Our borderless, global framework, which enables seamless collaboration  THE ROLE   Please note, we are only accepting applicants from the provinces of Ontario and Québec for this role. For Québec-based candidates, fluency in English is necessary because the position entails collaboration with teams based in the rest of the Americas and occasionally in Europe. WHAT YOU'LL DO AI ENGINEERING LEADERSHIP * Lead the design and delivery of enterprise AI applications, copilots, assistants, and agentic solutions. * Define implementation strategies that align AI capabilities with business objectives and user needs. * Guide teams in building scalable AI workflows, retrieval systems, orchestration layers, and tool-integrated experiences. * Drive best practices across prompt engineering, retrieval-augmented generation (RAG), tool calling, context management, testing, observability, and evaluation. * Ensure high-quality, maintainable, and secure AI implementations. CLIENT & STAKEHOLDER ENGAGEMENT * Partner with clients to understand business challenges and identify AI-powered opportunities. * Translate ambiguous requirements into practical implementation approaches and technical roadmaps. * Act as a trusted advisor during workshops, discovery sessions, and executive presentations. * Collaborate closely with Data Scientists, Data Engineers, Architects, Analytics Engineers, Product teams, and business stakeholders. ---------------------------------------------------------------------------------------------------------------------------------- REQUIRED QUALIFICATIONS * 7+ years of experience in software engineering, AI engineering, machine learning engineering, or related fields. * 2+ years of experience leading technical teams or managing engineering professionals. * Strong experience building AI-powered applications and LLM-enabled solutions in production environments. * Hands-on experience designing and implementing: * Generative AI applications * Agentic workflows * Retrieval-Augmented Generation (RAG) solutions * Tool-calling and workflow orchestration patterns * API-driven integrations * Advanced Python development experience. * Experience working with Microsoft Azure * Experience working with cloud-based AI platforms and services. * Strong stakeholder management and communication skills. ---------------------------------------------------------------------------------------------------------------------------------- PREFERRED QUALIFICATIONS * Experience delivering AI solutions within consulting, digital agencies, or enterprise environments. * Experience leading multiple workstreams simultaneously across clients or business units. * Familiarity with AI governance, responsible AI practices, security, and privacy considerations. * Knowledge of evaluation frameworks for AI applications and agentic systems. * Experience supporting distributed, international engineering teams. ---------------------------------------------------------------------------------------------------------------------------------- WHAT SUCCESS LOOKS LIKE * Delivering scalable, production-ready AI solutions that generate measurable business value. * Building high-performing AI Engineering teams through coaching and mentorship. * Promoting reusable implementation patterns and engineering best practices. * Ensuring reliable, secure, and responsible AI adoption across projects. * Strengthening Valtech's leadership position in AI-powered digital transformation. ---------------------------------------------------------------------------------------------------------------------------------- If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn.  COMMITMENT TO REACHING ALL KINDS OF PEOPLE  We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.  THE BENEFITS   This is a full-time position based in Montreal and Toronto. The offered salary range is $95,000 to $130,000 annually, depending on experience and location.  Valtech offers a comprehensive benefits package effective after three months of continuous service: * A comprehensive insurance plan, where you can choose the module that best suits your needs—Gold, Silver, or Bronze. The employer may contribute up to 80% of your coverage depending on the selected module. This plan includes short- and long-term disability coverage. * Dialogue via Sun Life provides virtual healthcare services, allowing you to consult with a healthcare professional for emergencies, prescription renewals, and more. You also have access to the Employee and Family Assistance Program, as well as a complete mental health support program. * A $500 Personal Spending Account, which can be used for healthcare reimbursements, gym memberships, public transit passes, office supplies, or contributions to your RRSP through Valtech. * A retirement plan where Valtech will match 100% of your RRSP contributions through a Deferred Profit Sharing Plan (DPSP), up to a maximum of 4%. You can start contributing to your RRSP immediately, and to the DPSP after 3 months. The vesting of the DPSP will be after a 24 months of service.  * Access to a flexible vacation under Valtech's policy to support your work-life balance, with 5 days available during your probation period and a prorated amount calculated for the remainder of the year. * Personal Technology Reimbursement – $30/month for every employee-offered on day 1.  * We close during the winter holidays and offer flexible scheduling throughout the year, so you can enjoy those sunny Friday afternoons—provided your weekly hours are completed. YOUR APPLICATION PROCESS Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential. ⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses. We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.  ABOUT VALTECH Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.  At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.  At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.  Are you ready to create what’s next? Join us. ----------------------------------------------------------------------------------------------------------------------------------

Valtech

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience.  THE OPPORTUNITY At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.  We are proud of:  * The work we do and the innovation we drive  * Our values of share, care and dare  * A workplace culture that fosters creativity, diversity and autonomy  * Our borderless, global framework, which enables seamless collaboration    THE ROLE   Please note, we are only accepting applicants from the provinces of Ontario and Québec for this role. For Québec-based candidates, fluency in English is necessary because the position entails collaboration with teams based in the rest of Americas and occasionally in Europe. As a Senior Optimization Consultant, you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring 7+ YEARS of experience, a growth mindset and a drive to make a lasting impact. We're looking for a senior optimization leader who has genuinely lived inside Adobe Target — building tests, wiring up integrations, debugging QA issues, and making the tool sing — and who has since grown into a role where they set strategy, mentor teams, and speak with authority in the room. This is not a role for someone who has only managed Adobe Target from a distance. The client stakeholders on this engagement are technical and opinionated, and they will push back. This person needs to win that room on credibility, not title alone. Think of the profile as: the technical expert who got promoted, not the manager who was assigned the account. They should be able to say "I've built this exact thing, here's why it breaks, and here's the better way" — and be senior enough that the recommendation carries organizational weight. You will thrive in this role if you are:  * A curious problem solver who challenges the status quo  * A collaborator who values teamwork and knowledge-sharing  * Excited by the intersection of technology, creativity and data  * Experienced in Agile methodologies and consulting (a plus)  Role responsibilities * Serve as the senior voice and primary point of authority on all things Adobe Target, advising technical and business stakeholders on testing strategy, personalization architecture, and platform best practices. * Push back constructively and confidently when client stakeholders propose approaches that conflict with Adobe Target best practices — backed by direct, hands-on experience rather than secondhand knowledge. * Stay current on the Adobe Target roadmap, new feature releases, and broader personalization/experimentation trends (e.g., AI-driven personalization, integration with Adobe Experience Platform / Journey Optimizer, server-side and edge-based testing), and translate what's new into practical recommendations for the client. * Provide oversight and QA on test design, targeting logic, audience segmentation, and implementation to ensure technical soundness before anything ships. * Mentor and guide more junior optimization specialists working hands-on in the platform, reviewing their work and raising the technical bar. * Act as a bridge between strategic/business objectives and the technical realities of the Adobe Target platform — equally comfortable in a whiteboard strategy session or a implementation review with engineers. * Represent the optimization practice in client governance meetings, roadmap reviews, and executive readouts, bringing both authority and specificity.   MUST HAVE QUALIFICATIONS To be considered for this role, you must meet the following essential qualifications:  * 7+ years of experience in conversion rate optimization, personalization, or digital experimentation, with the majority of that time spent hands-on in Adobe Target.  * Demonstrated career progression from hands-on practitioner to a senior strategic or leadership role — this should show clearly in your experience, not just your job title. * Deep, current knowledge of the Adobe Target ecosystem, including recent platform updates, AI/ML-based personalization features, and its role within the broader Adobe Experience Cloud (Analytics, AEP). * Proven ability to advise and influence senior, technical, and/or opinionated stakeholders — comfortable defending a recommendation under scrutiny. * Strong understanding of test design fundamentals: statistical significance, sample size/power, segmentation strategy, and common implementation pitfalls. * Excellent executive presence and communication skills; able to flex between technical depth and business-level narrative. * Experience working in a client services, consulting, or agency environment is a strong plus given the client-facing nature of this role.   NICE TO HAVE QUALIFICATIONS   * Adobe Target certification(s) or equivalent demonstrated platform mastery.  * Experience integrating Adobe Target with tag management systems (Adobe Launch/Tags), analytics platforms, and CDPs. * Background across multiple industries (retail, travel/hospitality, pharma, tech) to bring outside-in perspective. * Prior experience specifically advising or leading teams supporting large, matrixed, or technically sophisticated enterprise clients. What Success Looks Like * The technical stakeholders see this person as a trusted authority — someone whose recommendations they act on because of demonstrated expertise, not just seniority. * The optimization program on the account reflects current Adobe Target best practices and emerging capabilities, not year-old playbooks. * Junior team members level up because this person is actively involved in the details, not just managing from a distance. If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn.    COMMITMENT TO REACHING ALL KINDS OF PEOPLE  We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.    THE BENEFITS   Valtech offers a comprehensive benefits package effective after three months of continuous service: * A comprehensive insurance plan, where you can choose the module that best suits your needs—Gold, Silver, or Bronze. The employer may contribute up to 80% of your coverage depending on the selected module. This plan includes short- and long-term disability coverage. * Dialogue via Sun Life provides virtual healthcare services, allowing you to consult with a healthcare professional for emergencies, prescription renewals, and more. You also have access to the Employee and Family Assistance Program, as well as a complete mental health support program. * A $500 Personal Spending Account, which can be used for healthcare reimbursements, gym memberships, public transit passes, office supplies, or contributions to your RRSP through Valtech. * A retirement plan where Valtech will match 100% of your RRSP contributions through a Deferred Profit Sharing Plan (DPSP), up to a maximum of 4%. You can start contributing to your RRSP immediately, and to the DPSP after 3 months. The vesting of the DPSP will be after a 24 months of service.  * Access to a flexible vacation under Valtech's policy to support your work-life balance, with 5 days available during your probation period and a prorated amount calculated for the remainder of the year. * Personal Technology Reimbursement – $30/month for every employee-offered on day 1.  * We close during the winter holidays and offer flexible scheduling throughout the year, so you can enjoy those sunny Friday afternoons—provided your weekly hours are completed.   YOUR APPLICATION PROCESS Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential. ⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses. We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.     ABOUT VALTECH Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.  At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.  At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.  Are you ready to create what’s next? Join us.

Valtech

OPPORTUNITÉ  À Valtech, vous trouverez un environnement propice à l’apprentissage continu, à l’impact concret et à la croissance professionnelle. Que vous développiez de nouvelles solutions digitales, remettiez en question les idées reçues ou construisiez la prochaine génération d’expériences client, votre travail contribuera à transformer les secteurs d'activité.  Nous sommes fiers de:  * Notre travail et l'innovation que nous encourageons  * Nos valeurs : « share, dare, care »  * Une culture d'entreprise qui favorise la créativité, la diversité et l'autonomie  * Notre structure mondiale sans frontières, qui permet une collaboration fluide  La maîtrise de l'anglais est requise, car le rôle implique des communications régulières avec des clients et des collègues situés à l'extérieur du Québec. RÔLE  En tant que Consultant Senior en Optimisation, l'innovation en matière d'expérience vous passionne et vous souhaitez sans cesse repousser les limites du possible. Vous apportez 7+ années d'expérience, un esprit de développement personnel et la volonté d'avoir un impact durable.  Nous recherchons un leader senior en optimisation ayant une expérience concrète et approfondie d’Adobe Target — quelqu’un qui a conçu des tests, mis en place des intégrations, résolu des problèmes de QA et exploité pleinement la plateforme — puis qui a évolué vers un rôle stratégique lui permettant de définir des orientations, accompagner des équipes et s’exprimer avec autorité auprès des parties prenantes. Ce poste ne convient pas à une personne qui n’aurait géré Adobe Target qu’à distance. Les interlocuteurs clients dans le cadre de cette mission sont techniques, expérimentés et exigeants, et ils n’hésiteront pas à remettre en question les recommandations proposées. Cette personne devra gagner leur confiance grâce à son expertise et sa crédibilité, et non simplement grâce à son titre. Le profil recherché est celui d’un expert technique promu à un poste de leadership, et non d’un gestionnaire affecté à un compte. Il ou elle doit pouvoir affirmer : « J’ai déjà mis en œuvre exactement cette solution, voici pourquoi elle peut échouer et voici la meilleure approche », tout en possédant le niveau d’ancienneté nécessaire pour que ses recommandations aient un véritable impact organisationnel. Vous vous épanouirez dans ce rôle si vous êtes une personne:  * Curieuse et capable de résoudre des problématiques complexes et de remettre en question les pratiques établies  * Valorisant la collaboration et le partage des connaissances au sein d’une équipe  * Enthousiaste à l’idée de travailler à l’intersection de la technologie, de la créativité et des données  * Ayant une expérience avérée des pratiques agiles et du conseil (un plus)  Responsabilités du poste  * Agir comme référent principal et autorité experte sur tous les sujets liés à Adobe Target, en conseillant les parties prenantes techniques et métiers sur les stratégies de tests, l’architecture de personnalisation et les meilleures pratiques de la plateforme. * Remettre en question de manière constructive et assurée les approches proposées par les clients lorsqu’elles ne respectent pas les meilleures pratiques Adobe Target, en s’appuyant sur une expérience pratique directe. * Se tenir informé de la feuille de route Adobe Target, des nouvelles fonctionnalités et des tendances du marché en matière de personnalisation et d’expérimentation (par exemple : personnalisation basée sur l’IA, intégration avec Adobe Experience Platform et Journey Optimizer, tests côté serveur et en périphérie), puis transformer ces évolutions en recommandations concrètes pour le client. * Superviser et valider la conception des tests, la logique de ciblage, la segmentation des audiences et les implémentations afin de garantir leur robustesse technique avant leur mise en production. * Encadrer et accompagner les spécialistes optimisation plus juniors travaillant directement dans la plateforme, en révisant leurs livrables et en contribuant à l’élévation du niveau technique de l’équipe. * Faire le lien entre les objectifs stratégiques ou commerciaux et les réalités techniques de la plateforme Adobe Target, en étant à l’aise aussi bien dans des ateliers stratégiques que lors de revues techniques avec les équipes d’ingénierie. * Représenter la pratique d’optimisation lors des réunions de gouvernance client, des revues de feuille de route et des présentations à la direction, en apportant expertise, crédibilité et précision.    QUALIFICATIONS REQUISES  Afin d’être éligible à ce poste, vous devez posséder les qualifications essentielles suivantes:  * Plus de 7 ans d’expérience en optimisation du taux de conversion (CRO), personnalisation ou expérimentation digitale, dont la majorité passée à travailler directement avec Adobe Target. * Évolution professionnelle démontrée d’un rôle opérationnel et technique vers un poste stratégique ou de leadership senior ; cette progression doit être clairement visible dans l’expérience professionnelle et pas uniquement dans l’intitulé du poste. * Excellente maîtrise, à jour, de l’écosystème Adobe Target, incluant les récentes évolutions de la plateforme, les fonctionnalités de personnalisation basées sur l’IA et le machine learning, ainsi que son rôle au sein d’Adobe Experience Cloud (Analytics, Adobe Experience Platform, etc.). * Capacité avérée à conseiller et influencer des parties prenantes seniors, techniques et exigeantes, avec aisance pour défendre des recommandations sous examen critique. * Solide compréhension des fondamentaux de la conception d’expériences : significativité statistique, taille d’échantillon et puissance statistique, stratégies de segmentation et principaux risques d’implémentation. * Excellente présence exécutive et très bonnes compétences en communication, avec la capacité d’adapter son discours à des audiences techniques comme métiers. * Une expérience dans un environnement de conseil, de services professionnels ou d’agence constitue un atout important compte tenu de la dimension fortement orientée client du poste. QUALIFICATIONS SOUHAITÉES  * Certification(s) Adobe Target ou preuve équivalente d’une maîtrise avancée de la plateforme. * Expérience d’intégration d’Adobe Target avec des systèmes de gestion de balises (Adobe Launch / Tags), des plateformes analytiques et des CDP (Customer Data Platforms). * Expérience dans plusieurs secteurs d’activité (commerce de détail, voyage/hôtellerie, industrie pharmaceutique, technologie, etc.) permettant d’apporter une perspective externe enrichissante. * Expérience préalable dans le conseil ou la gestion d’équipes accompagnant de grandes entreprises complexes, matricielles ou disposant d’environnements techniques sophistiqués.   Si vous ne possédez pas toutes les qualifications mentionnées ou si vous avez des lacunes dans votre parcours, nous vous encourageons à postuler. À Valtech, nous reconnaissons la richesse des talents et valorisons la pluralité des perspectives ainsi que la soif d’apprendre.    ENGAGEMENT POUR L’INCLUSION  Nous concevons des expériences qui conviennent à toutes les personnes — et cela commence par nos équipes. À Valtech, nous avons à cœur de bâtir une culture inclusive où chaque individu se sent soutenu pour grandir, s'épanouir et atteindre ses objectifs. Quel que soit votre parcours, vous avez votre place. Explorez notre site Diversité et Inclusion pour en savoir plus sur nos actions en faveur d’un Valtech plus équitable.     BÉNÉFICES ET AVANTAGES  Valtech offre un programme d’avantages sociaux complet, en vigueur après trois mois de service continu : * Un régime d’assurance complet, avec la possibilité de choisir le module qui répond le mieux à vos besoins — Or, Argent ou Bronze. Selon le module sélectionné, l’employeur peut contribuer jusqu’à 80 % de votre couverture. Ce régime comprend des assurances invalidité de courte et de longue durée. * Dialogue via Sun Life vous donne accès à des services de soins de santé virtuels, vous permettant de consulter un professionnel de la santé pour des urgences, des renouvellements d’ordonnance, et plus encore. Vous avez également accès au Programme d’aide aux employés et à leur famille, ainsi qu’à un programme complet de soutien en santé mentale. * Un Compte de dépenses personnel de $500, pouvant être utilisé pour des remboursements de soins de santé, des abonnements au gym, des passes de transport en commun, des fournitures de bureau ou des contributions à votre REER par l’intermédiaire de Valtech. * Un régime de retraite dans lequel Valtech égalera 100% de vos contributions à votre REER par l’entremise d’un Régime de participation différée aux bénéfices (RPDB), jusqu’à un maximum de 4 %. Vous pouvez commencer à cotiser à votre REER immédiatement, et au RPDB après 3 mois. L’acquisition des droits du RPDB est complétée après 24 mois de service. * L’accès à un programme de vacances flexibles selon la politique de Valtech pour soutenir votre équilibre travail-vie personnelle, comprenant 5 jours disponibles pendant votre période de probation et un montant au prorata pour le reste de l’année. * Un remboursement de technologie personnelle — $30/mois offert à chaque employé dès le premier jour. * Nous fermons durant les vacances d’hiver et offrons des horaires flexibles tout au long de l’année, afin que vous puissiez profiter des après-midi ensoleillées du vendredi — pourvu que vos heures hebdomadaires soient complétées.    PROCESSUS DE RECRUTEMENT  Une fois votre candidature envoyée, notre équipe Talent Acquisition l’examinera sous quelques jours. Si vos compétences et votre expérience correspondent au poste, nous vous contacterons pour les prochaines étapes.  ⚠️  Attention aux fraudes : n’interagissez qu’avec des adresses e-mail officielles se terminant par @valtech.com.  Nous nous engageons en faveur de l’inclusion et de l’accessibilité. Si vous avez besoin d’un aménagement raisonnable pendant le processus de recrutement, veuillez l’indiquer dans votre candidature ou en informer votre Talent Partner.    À PROPOS DE VALTECH  Valtech est une entreprise d’innovation et d’expérience qui a pour vocation d’offrir une meilleure façon d'appréhender le monde. En combinant expertises, secteurs et cultures, nous aidons les marques à créer de la valeur dans un monde de plus en plus digital.  À l’intersection des données, de l’IA, de la créativité et de la technologie, nous accompagnons la transformation de grandes entreprises telles que L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, et bien d’autres.  À Valtech, la transformation ne se limite pas aux discours. Nous la concrétisons. Nos collaborateurs sont au cœur de notre succès, et nous cultivons un environnement où chaque talent peut s’épanouir, évoluer et innover.  Prêt·e à imaginer la suite ? Rejoignez-nous.  Conformément à la loi allemande sur l'égalité de traitement et à son équivalent français, les offres d'emploi doivent être publiées de manière non sexiste. Nous utilisons la mention pour préciser que ce poste est ouvert à tous les genres dans ces pays, même si le titre du poste lui-même peut être traduit ou interprété comme « masculin » en allemand ou en français.

Valtech

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience.  THE OPPORTUNITY At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.  We are proud of:  * The work we do and the innovation we drive  * Our values of share, care and dare  * A workplace culture that fosters creativity, diversity and autonomy  * Our borderless, global framework, which enables seamless collaboration    THE ROLE   As a Sr Data Engineer, you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring +5 years of experience, a growth mindset and a drive to make a lasting impact.  You will thrive in this role if you are:  * A curious problem solver who challenges the status quo  * A collaborator who values teamwork and knowledge-sharing  * Excited by the intersection of technology, creativity and data  * Experienced in Agile methodologies and consulting (a plus)  Role responsibilities •    Lead complex data engineering workstreams across multiple business areas, source systems, domains, or stakeholder groups. •    Define data engineering approaches that align business needs, source-system realities, platform constraints, transformation patterns, and downstream consumption requirements. •    Translate ambiguous stakeholder needs into structured pipeline strategies, ingestion patterns, transformation designs, curated data layers, and actionable recommendations. •    Guide the design and implementation of scalable ingestion, transformation, and serving patterns across cloud warehouses, lakehouses, and analytical environments. •    Establish and reinforce best practices for schema design, pipeline modularity, layered data architecture, data validation, lineage awareness, scheduling discipline, error handling, and maintainable engineering patterns. •    Design and improve reusable data engineering workflows that support reporting, dashboarding, data science, AI workflows, and agentic use cases. •    Support team staffing, work allocation, prioritization, and delivery quality across data engineering engagements. •    Manage, coach, and develop practitioners through feedback, guidance, and performance support. •    Review deliverables for clarity, technical rigor, quality, consistency, and business usefulness. •    Help teams improve data quality, reduce pipeline fragility, strengthen source alignment, and increase trust in downstream governed datasets. •    Support data engineering patterns that improve AI and agentic readiness, including metadata-rich datasets, retrieval-supportive organization, document and chunk preparation support, governed access paths, and scalable data availability for downstream workflows. •    Collaborate with Analytics Engineers, Data Analysts, Data Scientists, AI Scientists, AI Engineers, AI Platform Engineers, and Architects to align data foundations with downstream analytical, AI, and platform needs. •    Contribute to hiring, onboarding, capability development, and team maturity within the data engineering practice. •    Follow established governance, privacy, security, and data-quality standards across the work of the team.   MUST HAVE QUALIFICATIONS To be considered for this role, you must meet the following essential qualifications:  •    Deep working knowledge of data engineering, cloud-based data platforms, and scalable pipeline design. •    Strong ability to define data engineering approaches in complex business environments with multiple systems, domains, and downstream consumers. •    Strong people leadership skills, including coaching, feedback, prioritization, and support for team development. •    Strong understanding of ETL and ELT concepts, schema evolution, orchestration, dependency management, layered data design, and downstream data consumption needs. •    Strong familiarity with SQL, Python, Spark, PySpark, and cloud-native data engineering workflows. •    Strong understanding of medallion, lakehouse, warehouse, or layered architectural patterns and their role in governed data reuse. •    Strong analytical and problem-solving skills across data-quality issues, performance challenges, dependency risks, and transformation design. •    Working understanding of how reliable data foundations enable machine learning, AI workflows, retrieval quality, agentic systems, and governed application behavior. •    Strong stakeholder management skills and the ability to communicate clearly with technical and non-technical audiences. •    Ability to balance delivery quality, team workload, business urgency, and stakeholder expectations across multiple workstreams. •    Strong written and verbal communication skills in English, including confidence in client-facing and leadership-facing settings. •    Ability to collaborate effectively across distributed teams in the Americas and across multiple disciplines. •   Upper-intermediate English level  •   Technical Requirements: Microsoft Fabric, Microsoft Foundry, APIM Gateway, App Insights, and Cosmos DB.   COMMITMENT TO REACHING ALL KINDS OF PEOPLE  We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.    THE BENEFITS   This is a CLT/PJ position based in Brazil.  Beyond a competitive compensation package, we offer:  * Flexibility, with remote and hybrid work options (country-dependent)  * Career advancement, with international mobility and professional development programs  * Learning and development, with access to cutting-edge tools, training and industry experts  Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process.     YOUR APPLICATION PROCESS Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential. ⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses. We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.     ABOUT VALTECH Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.  At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.  At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.  Are you ready to create what’s next? Join us.

Valtech

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience.  THE OPPORTUNITY At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.  We are proud of:  * The work we do and the innovation we drive  * Our values of share, care and dare  * A workplace culture that fosters creativity, diversity and autonomy  * Our borderless, global framework, which enables seamless collaboration    THE ROLE   The Senior AI Engineer is a practitioner role within Data Science, AI, & Agentic. This role is responsible for driving complex AI engineering workstreams while also supporting the growth, enablement, and effectiveness of AI engineering practitioners on the team. The Senior AI Engineer shapes implementation strategy, supports delivery planning and quality, and serves as a trusted partner to internal and client stakeholders on AI-enabled applications, orchestration patterns, workflow integration, and practical adoption. You will thrive in this role if you are:  * A curious problem solver who challenges the status quo  * A collaborator who values teamwork and knowledge-sharing  * Excited by the intersection of technology, creativity and data  * Experienced in Agile methodologies and consulting (a plus)  Role responsibilities * • Drive complex AI engineering workstreams across multiple business areas, use cases, products, or stakeholder groups. • Define AI engineering approaches that align business goals, workflow opportunities, orchestration patterns, integration requirements, and measurable implementation outcomes. • Translate ambiguous stakeholder needs into structured implementation plans, workflow logic, prompt orchestration, retrieval patterns, tool-calling approaches, and solution recommendations. • Guide the implementation of AI-enabled applications, agents, assistant-style experiences, and workflow components that connect models to practical business processes. • Establish and reinforce best practices for prompt orchestration, tool use, context handling, retrieval flow, API integration, workflow composition, response processing, testing, and code quality. • Design and improve reusable implementation patterns for use cases such as summarization, extraction, question answering, search augmentation, conversational support, workflow automation, grounded insight delivery, and agent-assisted task execution. • Contribute to delivery planning, prioritization discussions, and quality standards across AI engineering engagements. • Mentor, coach, and support practitioners through feedback, guidance, and performance development. • Review deliverables for clarity, technical rigor, quality, consistency, safety, and business usefulness. • Help teams improve workflow reliability, integration quality, testing discipline, and implementation reuse across projects. • Collaborate with AI Scientists, Data Scientists, Data Engineers, Analytics Engineers, and Architects to align AI solutions with business needs, governed data access, platform realities, and technical constraints. • Contribute to hiring, onboarding, capability development, and team maturity within the AI engineering practice. • Follow established governance, privacy, safety, and responsible AI-use standards across the work of the team.   Must have qualifications * Advanced English Level * Expected to demonstrate AI-native engineering habits appropriate to an AI Engineer role, including active use of approved AI-enabled tools and workflows for AI application development, orchestration design, prompt and retrieval integration, tool-calling workflows, API integration, testing, documentation, and reusable implementation patterns. Uses AI-assisted workflows to accelerate development, improve implementation quality, draft test cases, document workflow behavior, troubleshoot integration issues, and refine reusable components while maintaining human accountability for correctness, safety, maintainability, governed data access, and production usefulness. * Strong experience in AI application development using Python, SQL, PowerShell, and REST APIs, including workflow design and structured data (JSON) processing. * Hands-on experience with Microsoft Azure, including Azure AI Services, Azure OpenAI-compatible services, Azure API Management (APIM), Cosmos DB, and Microsoft Fabric for enterprise AI and data solutions. * Experience designing and implementing LLM-enabled and agentic applications, including RAG, prompt orchestration, tool calling, embeddings, context management, and workflow evaluation. * Strong knowledge of AI solution integration, cloud-native architectures, and scalable AI application development within Microsoft ecosystems. * Experience working with Databricks, Apache Spark, and PySpark to support AI, analytics, and data engineering workflows. * Proficient with Git, GitHub, and Azure DevOps for version control, collaboration, and CI/CD practices.   If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn.    COMMITMENT TO REACHING ALL KINDS OF PEOPLE  We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.    THE BENEFITS   This is a Full Time position based in Brazil Beyond a competitive compensation package, we offer:  * Flexibility, with remote and hybrid work options (country-dependent)  * Career advancement, with international mobility and professional development programs  * Learning and development, with access to cutting-edge tools, training and industry experts * Medical, dental, and vision insurance for you and your family, plus employer contributions to Health Savings Accounts Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process.     YOUR APPLICATION PROCESS Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential. ⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses. We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.     ABOUT VALTECH Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.  At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.  At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.  Are you ready to create what’s next? Join us.   For applicants in California, please see Valtech's CPRA Privacy Notice here.

Valtech

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience.  THE OPPORTUNITY At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.  We are proud of:  * The work we do and the innovation we drive  * Our values of share, care and dare  * A workplace culture that fosters creativity, diversity and autonomy  * Our borderless, global framework, which enables seamless collaboration    THE ROLE   As a Data Engineer, you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring  4+YEARS of experience, a growth mindset and a drive to make a lasting impact.  You will thrive in this role if you are:  * A curious problem solver who challenges the status quo  * A collaborator who values teamwork and knowledge-sharing  * Excited by the intersection of technology, creativity and data  * Experienced in Agile methodologies and consulting (a plus)  Role responsibilities Data Infrastructure & Architecture  * Design and implement robust, scalable data architectures and pipelines  * Build and maintain ETL/ELT processes for batch and real-time data processing  * Develop data models and schemas optimized for analytics and reporting  * Ensure data quality, consistency, and reliability across all data systems  Platform-Agnostic Development  * Work with multiple cloud platforms (AWS, Azure, GCP) based on client requirements  * Implement data solutions using various technologies and frameworks  * Adapt quickly to new tools and platforms as project needs evolve  * Maintain expertise across different cloud ecosystems and services  Data Pipeline Development  * Create automated data ingestion pipelines from various sources (APIs, databases, files, streaming)  * Implement data transformation logic using modern data processing frameworks  * Build monitoring and alerting systems for data pipeline health  * Optimize pipeline performance and cost-efficiency  Collaboration & Integration  * Work closely with data scientists, analysts, and business stakeholders  * Collaborate with DevOps teams to implement CI/CD for data pipelines  * Partner with client teams to understand data requirements and deliver solutions  * Participate in architecture reviews and technical decision-making  MUST HAVE QUALIFICATIONS Technical Skills  * Minimum 3+ years of experience in data engineering or related field  * Strong programming skills in Python and/or Scala/Java  * Experience with SQL and database technologies (PostgreSQL, MySQL, MongoDB)  * Hands-on experience with data processing frameworks:   * Apache Spark, Hadoop ecosystem  * Apache Kafka for streaming data  * Apache Airflow or similar workflow orchestration tools  * Knowledge of data warehouse concepts and technologies  * Experience with containerization (Docker, Kubernetes)  * Understanding of data modeling principles and best practices  Cloud & Platform Experience  * Experience with at least one major cloud platform (AWS, Azure, or GCP)  * Familiarity with cloud-native data services:   * Data lakes, data warehouses, and analytics services  * Serverless computing and event-driven architectures  * Identity and access management for data systems  * Knowledge of Infrastructure as Code (Terraform, CloudFormation, ARM templates)  Data & Analytics  * Understanding of data governance and security principles  * Experience with data quality frameworks and monitoring  * Knowledge of dimensional modeling and data warehouse design  * Familiarity with business intelligence and analytics tools  * Understanding of data privacy regulations (GDPR, CCPA)    NICE TO HAVE QUALIFICATIONS   Advanced Technical Skills  * Experience with modern data stack tools (dbt, Fivetran, Snowflake, Databricks)  * Knowledge of machine learning pipelines and MLOps practices  * Experience with event-driven architectures and microservices  * Familiarity with data mesh and data fabric concepts  * Experience with graph databases (Neo4j, Amazon Neptune)  Industry Experience  * Experience in digital agency or consulting environment  * Background in financial services, e-commerce, retail, or customer experience platforms  * Knowledge of marketing technology and customer data platforms  * Experience with real-time analytics and personalization systems  Soft Skills  * Strong problem-solving and analytical thinking abilities  * Excellent communication skills for client-facing interactions  * Ability to work independently and manage multiple projects  * Adaptability to rapidly changing technology landscape  * * Experience mentoring junior team members  If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn.    COMMITMENT TO REACHING ALL KINDS OF PEOPLE  We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.    THE BENEFITS   This is a full-time position based in Bengaluru. Beyond a competitive compensation package, we offer:  * Flexibility, with remote and hybrid work options (country-dependent)  * Career advancement, with international mobility and professional development programs  * Learning and development, with access to cutting-edge tools, training and industry experts  Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process.     YOUR APPLICATION PROCESS Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential. ⚠️ Beware of recruitment fraud! Only engage with official Valtech email addresses ending in @valtech.com.  We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.     ABOUT VALTECH Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.  At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.  At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.  Are you ready to create what’s next? Join us.

Valtech

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. The opportunity At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.  We are proud of:  * The work we do and the innovation we drive  * Our values of share, care and dare  * A workplace culture that fosters creativity, diversity and autonomy  * Our borderless, global framework, which enables seamless collaboration  The role   You'll work alongside multidisciplinary teams of strategists, architects, engineers, analysts, designers and consultants, helping enterprise organisations unlock value through data, AI and modern digital platforms. Our capability is end-to-end; from strategy, discovery and advisory through to architecture, delivery and optimisation. We help clients balance business ambition with technical feasibility, ensuring transformation delivers measurable outcomes, not just great ideas. Working across sectors including financial services, retail, automotive, media, healthcare, public sector and consumer brands, you'll encounter a diverse range of challenges, levels of maturity and transformation priorities. Success in this role requires the ability to adapt your approach to different client environments while maintaining a relentless focus on value and impact. As a Data Director, you'll help organisations define future-state data ecosystems, modernise cloud and data platforms, unlock AI opportunities and build scalable capabilities that drive long-term growth. You're a consulting leader who thrives in complex enterprise environments, helping organisations turn data, AI and technology into measurable business outcomes. You're equally comfortable facilitating C-suite conversations, shaping transformation roadmaps and guiding clients through large-scale change. You combine strategic thinking with hands-on technical credibility. Whether defining a data strategy, designing an operating model, modernising a cloud platform or exploring GenAI opportunities, you stay close to delivery and work alongside architects, engineers and product teams to turn vision into reality. You excel in ambiguity, bringing structure to complex challenges and aligning stakeholders around a clear path forward. You connect business objectives, customer needs, operations, technology and data to design solutions that scale across organisations, not just individual systems. You'll build trusted relationships with senior stakeholders, identify growth opportunities and contribute to new business development, while mentoring and developing consultants, architects and engineers across the wider practice. Most importantly, you're pragmatic. You focus on outcomes over theory, balancing strategic ambition with practical delivery to create lasting impact for clients. Must have qualifications * Proven experience leading enterprise-scale data transformation or AI programmes  * Strong consulting background with experience operating in complex client environments  * Experience shaping modern data strategies, architectures and operating models  * Deep understanding of cloud data ecosystems across GCP, AWS or Azure - GCP experience is essential. * Experience working with modern data platforms and technologies such as Databricks, Snowflake, Fabric or equivalent ecosystems  * Strong stakeholder management and facilitation skills, including experience engaging senior leadership audiences  * Hands-on technical credibility across data engineering, analytics, AI or architecture disciplines  * Experience balancing strategic advisory with practical delivery leadership  * Ability to operate in ambiguity and bring structure to evolving transformation programmes  * Strong systems thinking, connecting business goals, technology, operations and data  * Commercial awareness, including experience contributing to proposals, pre-sales or account growth  * Experience working within agile, cross-functional delivery environments  * Excellent communication and presentation skills  * A collaborative and pragmatic mindset focused on measurable outcomes  If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognise that talent comes in many forms, and we value diverse perspectives and a willingness to learn. Commitment to reaching all kinds of people  We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. The benefits   This is a full time position based in the UK.  Beyond a competitive compensation package, we offer:  * Flexibility, with remote and hybrid work options (country-dependent)  * Career advancement, with international mobility and professional development programs  * Learning and development, with access to cutting-edge tools, training and industry experts  Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process.  Your application process Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential. ⚠️ Beware of recruitment fraud! We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.  About Valtech Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.  At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.  At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.  Are you ready to create what’s next? Join us.

Valtech

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience.  THE OPPORTUNITY At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.  We are proud of:  * The work we do and the innovation we drive  * Our values of share, care and dare  * A workplace culture that fosters creativity, diversity and autonomy  * Our borderless, global framework, which enables seamless collaboration   The role   As a Senior Digital Experience Analytics & Optimisation Consultant, you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring minimum 6 to 8 YEARS of experience, a growth mindset and a drive to make a lasting impact.  You will thrive in this role if you are:  * A curious problem solver who challenges the status quo  * A collaborator who values teamwork and knowledge-sharing  * Excited by the intersection of technology, creativity and data  * Experienced in Agile methodologies and consulting (a plus)  As a Senior Experience Analytics & Optimisation Consultant, you will leverage advanced Web Analytics and Conversion Rate Optimisation experience to study user behaviours, inform strategic decisions and run experiments to optimise digital performance across customer accounts.  In this role you will have daily contact with multiple product teams at a large enterprise business. Largely self-sufficient, you will get your hands busy with various Analytics and Optimisation technologies, and you will collaborate with multi-disciplinary teams to undertake data deliverables and implement a/b tests and personalisations at scale.   You will be part of a large Data practice spanning all European markets, with teams of experts across fields such as data engineering, AI, web analytics, experimentation, data strategy, martech and more.  Role responsibilities * Extract and analyse web behavior data from multiple platforms (Adobe Analytics, Adobe Target, GA4, ContentSquare, Qualtrics, Adoreboard, among others).  * Identify user problems, trends, and anomalies to generate actionable insights and experiment hypotheses.  * Study how analytics tags / events are implemented in various areas of a website to identify measurement gaps and produce relevant recommendations.  * Consult with product teams to recommend digital measurement for upcoming product features.  * Collaborate with cross-functional teams to translate data findings into strategic recommendations.  * Design dashboards and reports to communicate insights to technical and non-technical stakeholders.  * Plan and document experiments end-to-end, including: targeted pages & audiences, metrics, design briefs, development briefs, content brief, QA brief, analytics briefs, test duration etc.  * Work with multi-disciplined teams (designers, developers, QA testers...) on the end-to-end implementation of experiments in Adobe Target.  * Be an expert in Adobe Target, with knowledge about audiences, pages, KPIs and advanced features (ML recommendations, Automated personalisation, Visitor profile attributes, Profile scripts...)  * Use Adobe Analytics and ContentSquare to report on experiment performance and provide clear recommendations and learnings.  * Plan and conduct workshops with stakeholders, for example to ideate solutions to user problems  MUST HAVE QUALIFICATIONS * 6-8 years in web analytics and or CRO roles  * Proficiency with Optimisation platforms (Adobe Target, Optimizely, AB tasty, Kameleoon etc)  * Proficiency with web analytics platforms (Adobe Analytics, GA4, ContentSquare, Hotjar, Qualtrics, Similarweb, Fullstory...)  * Familiarity with how Tag Management platforms work (Google Tag Manager, Adobe Launch, Tealium...)  * Hands-on experience designing dashboards (e.g. Looker Studio, Adobe Analytics, PowerBI...)  * Strong data literacy, ability to communicate compelling stories with data.  * Analytical rigour and awareness of risk in data interpretation, especially in the context of A/B testing.  * An interest in working with product teams on shaping remarkable digital experiences  * Familiarity with agile development and collaborative delivery across distributed teams.   * Strong problem-solving skills and ability to translate business goals into measurable optimisation activities.   * Comfortable working in a large, complex international organisation.   * Ability to coach and guide junior analysts.  * Excellent communication skills in English and Spanish.  * Willingness to travel quarterly to Brussels for workshops and collaboration sessions.  If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn.  COMMITMENT TO REACHING ALL KINDS OF PEOPLE  We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.  THE BENEFITS   This is a hybride position based in Spain/ Madrid at the client's site office. Beyond a competitive compensation package, we offer:  * Flexibility, with remote and hybrid work options (country-dependent)  * Career advancement, with international mobility and professional development programs  * Learning and development, with access to cutting-edge tools, training and industry experts  Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process.     YOUR APPLICATION PROCESS Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps.  ⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses ending in @valtech.com.  We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.     ABOUT VALTECH Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.  At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.  At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.  Are you ready to create what’s next? Join us.