Sökresultat för "Sparx Systems Enterprise Architect"

Stripe

WHO WE ARE ABOUT STRIPE Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. ABOUT THE TEAM The Product Security Data Platforms team is a newly established engineering team within Stripe Security. Our mission is to build the foundational infrastructure that provides our users with unprecedented visibility into the security posture of their Stripe integration. While Stripe is renowned for industry-leading payment protection, we are expanding our focus to provide a comprehensive security telemetry platform that helps businesses protect their entire digital ecosystem on Stripe. As a founding member of this team, you'll architect a large-scale customer-facing security data pipeline and presentation layer. Much like modern security observability platforms and data lakes that have transformed cloud infrastructure, we're building an API-first service that transforms massive streams of behavioral data into actionable security intelligence. This team operates at the intersection of high-throughput data engineering and cybersecurity, creating the systems that will allow the world’s most sophisticated companies to monitor, detect, and respond to threats in real time. WHAT YOU’LL DO As a Senior Software Engineer on this founding team, you'll lead the technical design and implementation of our core security data pipelines. You'll define how we capture security signals, process them at scale, and deliver them to our users through robust, developer-friendly interfaces. If you have security domain knowledge, you'll have opportunities to help shape product vision. RESPONSIBILITIES * Architect scalable foundations. Design and implement a highly available, low-latency pipeline capable of processing and augmenting millions of events per second into structured security telemetry. * Build API-first products. Develop the core services and streaming APIs that enable enterprise customers to seamlessly ingest security signals into their own internal security operations centers and analytics tools. * Engineer security signals. Partner with security researchers and threat detection experts to build the logic that identifies anomalous behavior and surfaces high-fidelity security insights. * Define technical strategy. Lead the technical roadmap for the platform, making critical decisions on data modeling, storage strategies, and the abstraction layers that will support future security products. * Drive engineering excellence. As a senior leader, you'll set the bar for code quality, system resilience, and operational maturity for a product that requires 99.99%+ availability. * Collaborate cross-functionally. Work closely with the Stripe core platform and data teams to leverage global infrastructure while ensuring security data remains isolated and protected. WHO YOU ARE We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. MINIMUM REQUIREMENTS * 8+ years of professional software development experience, with a history of shipping and maintaining complex, large-scale systems * Expertise in data engineering and distributed systems, with deep experience building and operating high-throughput data pipelines (e.g., Kafka, Flink, Spark, or similar streaming technologies) * Strong programming fundamentals, significant experience in languages like Java, C++, or Rust * System design leadership, a proven track record of designing robust, scalable architectures and leading cross-team technical initiatives from conception to launch * Operational mindset, experience maintaining business-critical services with high availability requirements, on-call rotation, and a strong focus on observability and debugging * Communication and collaboration skills, excellent technical writing skills for drafting design documents and the ability to mentor other engineers while collaborating with non-technical stakeholders PREFERRED QUALIFICATIONS * Security domain knowledge, with prior experience building security analytics, threat detection systems, or observability platforms. * Platform engineering with experience building "as-a-service" infrastructure where the primary users are other engineers or external developers. * Cloud native infrastructure, with prior experience with AWS, Kubernetes, and infrastructure-as-code (Terraform). * Product intuition and a desire to work on "0-to-1" initiatives where you help define the product requirements and user experience alongside engineering. * Front-end or full stack experience is a plus, particularly with React or TypeScript.

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   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   This is a position based in Poland.  MENTAL AND PHYSICAL HEALTH: * 24 working days of paid vacation * National holidays covered * Sick leave (up to 20/year) * Unpaid leave (up to 20/year) * Medical insurance * Multisport card OR Multikafeteria * Maternity & paternity leave support PERSONAL AND PROFESSIONAL DEVELOPMENT: * Internal workshops & learning initiatives * Professional certifications reimbursement * Participation in professional local & 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 Poland has a system of progressive benefit packages – the longer you stay with the company, the more benefits you get! 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  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.

Stripe

Who We Are About Stripe  Stripe is a financial infrastructure platform for businesses. Millions of companies — from the world's largest enterprises to the most ambitious startups — use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the Team The Datalake team builds and maintains Stripe's foundational data access and governance infrastructure — the paved path for safe, fast, and compliant access to Stripe's critical big data assets. We serve developers, data engineers, analysts, ML and AI teams, security teams, and business users across the company. The team is in the middle of a significant architectural transition as Stripe grows. We are making Stripe's data lake a first-class citizen of the modern data ecosystem to support our growing scale and diverse workloads. What Makes This Role Compelling * Foundational infrastructure with broad reach: The Datalake team's systems sit in the critical path of nearly every data workload at Stripe. Decisions affect petabytes of data, hundreds of production pipelines, and every engineering team that builds on Stripe's data lake. * Active, high-stakes architectural transformation: The team is executing a multi-year migration to modern, OSS-aligned solutions — a technically deep project with real architectural choices at each step, including API design, compute engine integration, authorization model, and per-table credential vending. * Active, high-stakes, OSS-aligned architectural transformation: You will lead a multi-year migration to modern, open-source solutions like the Apache Iceberg REST Catalog. This is a technically deep project involving critical architectural choices at each step, from API design and compute engine integration to authorization models, where your opinions and technical influence will directly shape how the platform engages with the broader data infrastructure ecosystem. * Storage platform ownership with room to define the approach: The team owns the object storage abstraction layer — access control, IAM policy design, lifecycle management, and compliance architecture — but the how is still being written. You'll shape how hundreds of engineering teams interact with petabytes of data, and the decisions you make will stick. * At Stripe you’ll have the scale of the large company and the agency to influence technical strategy and the roadmap Responsibilities * Architect the unified Iceberg platform: Lead the technical design of a metastore service as it becomes the single source of truth for Iceberg table management across all compute engines — Spark, Trino, Flink, and PyIceberg. Define the API contracts, authorization model, per-table credential vending, and integration patterns that every data pipeline at the company will depend on. * Own the metastore migration strategy: Drive the sequencing, backward compatibility story, rollback approach, and cross-team coordination for migrating all remaining Hive Metastore-backed workloads to the new platform. This means coordinating with dozens of consuming teams while keeping production data infrastructure operational at all times. * Shape the object storage abstraction: Define the storage abstraction layer — including bucket provisioning, access control policy design, and the developer-facing client libraries that make object storage ergonomic and secure by default. The goal is an abstraction layer that consuming teams can adopt without needing to become storage infrastructure experts themselves. * Lead compliance architecture: Partner with security and compliance teams to translate regulatory requirements into durable preventative technical controls — audit logging, access review infrastructure, data segregation, and lifecycle enforcement — built into the platform rather than bolted on. * Drive cost and efficiency at petabyte scale: Identify systemic inefficiencies in storage layout, snapshot retention, and data lifecycle, and design automated, self-service tooling that scales without ongoing manual intervention from the team. * Set the technical bar: Own critical design reviews, establish standards for reliability, security, and developer experience, and mentor senior engineers through high-stakes architectural decisions. Provide the technical judgment that keeps the platform moving fast without accumulating structural debt. Who You Are Minimum requirements * 10+ years of professional software engineering experience. * Demonstrated track record of designing, building, and operating large-scale distributed storage or data infrastructure systems. * Deep experience with object storage (S3, Azure Blob, or equivalent) — including IAM, access control policy design, lifecycle management, and operational practices at petabyte scale. * Proven ability to lead complex, multi-quarter infrastructure projects end-to-end, including cross-team dependency management and coordinating migrations across many consuming teams. * Strong background in authorization and access control design for distributed data systems. Preferred requirements * Deep expertise in Apache Iceberg — table format internals, the REST Catalog specification, snapshot lifecycle management, compaction, and compute engine integration (Spark, Trino, Flink, PyIceberg). * Background in compliance-sensitive infrastructure — SOX, ICFR, or equivalent regulatory frameworks — with an understanding of how audit and access review requirements translate into preventative technical controls. * Experience safely executing large-scale data migrations with a strong instinct for sequencing, blast radius reduction, rollback, and data integrity validation. * A strong developer experience sensibility: the ability to build abstractions that are ergonomic, well-documented, and actively reduce toil for the engineering teams that depend on your platform.

KARLSTADS KOMMUN

Beskrivning IT-avdelningen består av cirka 50 engagerade medarbetare, organiserade i tre enheter. Tillsammans ansvarar vi för kommunens gemensamma IT-infrastruktur och levererar IT-tjänster till hela organisationen. Vi arbetar både med att ge support i det dagliga, underhålla och vidareutveckla våra tjänster – samtidigt som vi är en strategisk partner i kommunens verksamhetsutveckling, där digitalisering är ett viktigt verktyg. Vi levererar våra IT-tjänster med stöd av agilt arbetssätt. Nu söker vi en analytisk och drivande lösningsarkitekt till vår enhet Projektkontor IT. Vill du vara med och forma framtidens digitala lösningar och bidra till ett hållbart och smart samhälle genom att utveckla och designa effektiva IT-lösningar som gör skillnad – då är det här rollen för dig! Arbetsuppgifter Som lösningsarkitekt hos oss får du en nyckelroll i att omsätta verksamhetens behov och krav till hållbara tekniska lösningar. Du arbetar nära både verksamheten och IT-avdelningens olika team för att vägleda och bidra till att våra lösningar är robusta, skalbara och användarvänliga. Du kommer att: Designa och dokumentera lösningsarkitektur för nya och befintliga system Delta i projekt och initiativ från idé till implementation Säkerställa att lösningar följer kommunens IT-strategi, arkitekturprinciper och säkerhetskrav Vara rådgivande i tekniska frågor och bidra till kompetensutveckling inom organisationen Ingå i teamet ”Arkitektur och testledning” som en bland flera arkitekter och testledare Kvalifikationer Vi söker dig som har: Erfarenhet av att arbeta som lösningsarkitekt eller i liknande roll God förståelse för integrationslösningar, molntjänster och moderna arkitekturmönster Förmåga att leda dialogen mellan verksamhet, IT och leverantören samt kommunicera och skapa samsyn kring tekniska lösningar Relevant akademisk utbildning inom IT eller motsvarande erfarenhet God kommunikativ förmåga, skicklighet i att uttrycka dig på svenska i tal och skrift. Meriterande: Erfarenhet av att arbeta med ramverk såsom Arkitekturgemenskapen, TOGAF, ArchiMate, SAFe, Scrum, ITIL Erfarenhet av modellering och modelleringsverktyg, gärna Sparx Enterprise Architect Erfarenhet av offentliga upphandlingar Erfarenhet av agila arbetssätt Erfarenhet av förändringsledning Kunskap om informationssäkerhet och dataskydd Vi kommer att lägga stor vikt vid personlig lämplighet såsom intresse för och förmåga att ta ansvar, både för din egen arbetsinsats och för din del i teamets samlade resultat. I din roll kommer du att ha många kontakter och olika kontaktytor, både internt och externt, vilket ställer höga krav på att du har ett professionellt och ansvarsfullt förhållningssätt mot kollegor och leverantörer. Du är social och tycker om att ha kul på jobbet! Det kommer förekomma utökade bakgrundskontroller i samband med rekryteringens slutskede. Välkommen med din ansökan! Vi erbjuder Hos oss får du utföra samhällsviktiga, intressanta samt utvecklande arbetsuppgifter. Vi erbjuder dig trygga anställningsvillkor, kollektivavtal och försäkringar. Men du får också ta del av andra fina förmåner. Läs mer om våra förmåner och hur det är att jobba i Karlstads kommun på karlstad.se/ jobbahososs Information om lönenivåer hittar du här (välj "Se lönestatistik"). Den här rekryteringen rör AID-kod 151014. När du söker jobb hos oss kommer du att få ange ditt CV samt svara på ett antal frågor där vi ber dig beskriva din kompetens inom efterfrågat område. Det innebär att du inte ska bifoga ett personligt brev som en del av din ansökan.  Om Karlstads kommun Hos oss på Kommunledningskontoret får du vara med och forma framtidens Karlstad. Vi arbetar med att leda, utveckla, styra, stödja och följa upp verksamheten i koncernen Karlstads kommun – allt för en positiv utveckling för dagens och framtidens Karlstadsbor. Vi är cirka 300 medarbetare som tillsammans fokuserar på strategisk och hållbar utveckling i kommunkoncernen, ofta i samverkan med näringsliv och andra delar av samhället. Vårt uppdrag omfattar bland annat ekonomi, juridik, inköp, HR, kommunikation och IT. Vi är också en drivande kraft i kommunens arbete med digitalisering och innovation, där vi utvecklar smarta lösningar och nya arbetssätt som stärker både service och effektivitet. Vill du vara med och skapa framtidens Karlstad? Hos oss i koncernen Karlstads kommun kan du göra skillnad på riktigt. Här är varje medarbetare en viktig del i helheten och tillsammans hjälps vi åt att förverkliga vår vision om "Ett bättre liv i Solstaden". Kom och väx med oss! Övrig information För att kvalitetssäkra rekryteringsprocessen och förenkla kommunikationen med våra sökande ber vi dig skicka in din ansökan via våra rekryteringssystemoch inte via e-post eller pappersformat. Vi undanber oss alla erbjudanden om annonserings- och rekryteringshjälp i samband med denna annons. Har du skyddade personuppgifter ska du inte registrera dina ansökningshandlingar i vårt rekryteringssystem och inte heller skicka in dem via e-post. Vänd dig istället till kommunens växel 054-540 00 00 för vidare hantering.

Coop Sverige AB

Coop Sverige – Together we make food-Sweden sustainable At Coop we are building the data backbone of a truly data-driven company. We run stores for our 4.2 million members, and our motto is “Relevance in every touchpoint.” Understanding our customers’ needs and behaviours is what fuels our innovation – from purchasing and logistics to personalised customer experiences. We are now strengthening our Data Platform team with a skilled Data Engineer to help us build scalable, cloud-native data solutions on Azure. About the role You will be part of our Data Platform team, which sits within Coop’s AI & Business Intelligence organisation – the team building the data foundation that powers analytics, reporting, operational intelligence and AI across the company. In this role you will design, build and optimise enterprise-grade data platforms using Azure Data Services, Databricks, modern Data Lakehouse architectures, real-time streaming and DevOps automation. You’ll turn data from across the business into trusted, high-quality data products that the whole organisation can rely on. What you will do Design and implement scalable batch and real-time data pipelines using Azure-native technologies. Build and maintain robust data ingestion frameworks from multiple source systems, APIs and event streams. Develop and manage Medallion Architecture (Bronze, Silver, Gold) within the enterprise Data Lake. Implement streaming solutions with Kafka, Event Hub and Service Bus for event-driven processing. Develop transformation frameworks using Databricks, PySpark and Delta Lake. Collaborate with business stakeholders, data analysts and data scientists to deliver trusted, high-quality data products. Enable CI/CD pipelines and automate deployments using Azure DevOps best practices. Drive platform optimization focused on performance, scalability, reliability and cost efficiency. Ensure adherence to data governance, security, monitoring and operational excellence standards. Who are you? To succeed in this role, we believe you have a genuine passion for getting value from massive datasets and love working with state-of-the-art technologies that make completely new data-driven solutions possible. You enjoy working with different tasks and stakeholders, you are result-oriented, and you spark when given room to take initiative and create solutions. As a team, we believe in supporting and challenging each other and growing a positive, learning culture. We believe that you Have strong hands-on experience with the Azure data platform – Azure Data Factory, Azure Databricks, Data Lake Storage Gen2 (ADLS), Azure Functions, Event Hub and Service Bus. Are highly skilled in Databricks and the Lakehouse – PySpark, Spark SQL, Delta Lake, Databricks Workflows, Unity Catalog and performance tuning, applying Medallion and Lakehouse architecture in practice. Are strong in data architecture and modelling – Lakehouse and Medallion design, ETL/ELT frameworks, and data quality & validation frameworks. Have experience with streaming and integration – Apache Kafka, event-driven architecture, Service Bus, batch ingestion / Autoloader and REST APIs. Are a confident programmer in Python, PySpark and SQL. Work the DevOps way – Azure DevOps, CI/CD pipeline development and Infrastructure as Code (Terraform preferred). Are comfortable with monitoring and operations – Log Analytics, Application Insights, and performance tuning & troubleshooting. Can communicate effectively with both technical specialists and non-technical stakeholders. It’s meritorious if you Have 5+ years of experience in data engineering. Have built enterprise-scale Azure data platforms hands-on. Have worked with retail, logistics or large-scale operational data environments. Have supported machine learning and advanced analytics workloads. Have a strong understanding of distributed data processing and streaming architectures. About us The grocery trade is a stable, long-term industry, and Coop’s offering is essential to the transition toward a greener, more sustainable future. You’ll join a culture defined by humility, initiative and strong values, where we take joint responsibility and genuinely want to help each other succeed. Our office in Solna Business Park offers a modern work environment with great transport links, a fantastic staff restaurant, and the option of hybrid work in agreement with your manager. At Coop, we work for our 4.2 million members, making us by far the largest cooperation in Sweden. If you have questions about the position, you are welcome to contact Hiring Manager Jakob Liljedahl (jakob.liljedahl@coop.se) or the recruiter Andreas Nilsson (andreas.nilsson2@coop.se) Welcome with your application! For a sustainable future together:Coop is Sweden's largest cooperative and a leading player in the grocery retail sector, with over 4 million members. We focus heavily on sustainability and work to create a greener and more just future by offering sustainable products and services. We believe that a diversity of perspectives and experiences is key to creating a more inclusive and successful workplace. Therefore, we welcome everyone, regardless of gender, age, background, or ethnic origin.

Stripe

WHO WE ARE ABOUT STRIPE Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. ABOUT THE TEAM We are experts in data, working to make it cost-effective, understandable, and trustworthy. We build pipelines processing billions of events a day and are stewards of canonical data warehouses and datasets delivering products for Stripe Users while embedding with teams to build their data products. We are experts in using the Stripe Data Platform and to scale we lead the data culture and data education to enable product teams to own their data. We invest in AI-driven Data Ops to scale incident handling and serve as an escalation path for data incidents to minimize their impact. The Data Engineering Solutions team will work closely with product teams delivering trustworthy data / backend code / and innovative AI tools/platforms/services for data. WHAT YOU’LL DO We're looking for a person who could drive the Data Engineering Solutions team in solving high-impact, cutting-edge data problems. The ideal candidate will be someone that has built data pipelines for large scale volume, is deeply knowledgeable of key tools including Airflow/Spark/Kafka/Flink, is empathetic, excels at building strong relationships, and collaborates effectively with other Stripe teams to understand their use cases and unlock new capabilities. RESPONSIBILITIES * Lead the technical outcomes for a team of ambitious, talented engineers, providing mentorship, guidance, and support to ensure their success * Partner with our recruiting team to attract and hire top talent * Deliver cutting-edge data pipelines that scale to users' needs, focusing on reliability and efficiency * Develop strong subject matter expertise and manage the SLAs of data pipelines and full stack web applications that support critical stakeholders * Collaborate with product managers and peers across the company to create/improve canonical datasets and data warehouses, use golden paths, and ensure Stripes and customers are using trustworthy data * Leverage AI/LLM and Agents at scale to produce and analyze high-quality data on ambiguous problems * Have the opportunity to drive the execution of key data initiatives for Stripe, overseeing the entire development lifecycle from planning to delivery while maintaining high standards of quality and timely completion * Foster a collaborative and inclusive work environment, promoting innovation, knowledge sharing, and continuous improvement within the team WHO YOU ARE We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. MINIMUM REQUIREMENTS * This is a Staff-level role — that typically means 10+ years of experience building and operating data systems, pipelines, warehouses, infrastructure, and leading teams to deliver exceptional solutions * A strong engineering background and passion for data as well as prior experience with writing and debugging data pipelines using a distributed data framework * An inquisitive nature in diving into data inconsistencies to pinpoint issues, and resolve deep rooted data quality issues * Knowledge of a backend development language (such as Scala, Java, or Go) and strong SQL experience * Extreme customer focus, with a commitment to partnering with product, leaders across the business, and other Stripe engineers to understand their use cases * Effective cross-functional collaboration, with the ability to think rigorously, communicate clearly, and make or coordinate difficult decisions and trade-offs * Thrive with high autonomy and responsibility in an ambiguous environment * Ability to foster and work in a healthy, inclusive, challenging, and supportive work environment PREFERRED QUALIFICATIONS * Our stack is made up of Iceberg, Kafka, Change Data Capture, Flink, Spark, Airflow, Hive Metastore, Pinot, Trino, AWS Cloud - experience with all or some of these tools is a huge plus * Influencing open-source contributions is a huge plus * Experience creating and maintaining data marts / warehouses to power business reporting needs * Experience collaborating with Product, Go-To-Market, or Sales / Marketing teams * Genuine enjoyment of innovation and a deep interest in understanding how things work, with the ability to question and direct architectural decisions * Strong written and verbal communication skills for various audiences, including leadership, users, and company-wide

Stripe

WHO WE ARE ABOUT STRIPE Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. ABOUT THE TEAM We're experts in data, working to make it cost-effective, understandable, and trustworthy. We build pipelines processing billions of events a day and are stewards of canonical data warehouses and datasets delivering products for Stripe Users while embedding with teams to build their data products. We're experts in using the Stripe Data Platform and to scale we lead the data culture and data education to enable product teams to own their data. We invest in AI Data Ops to scale incident handling and serve as an escalation path for data incidents to minimize their impact. The Data Engineering Solutions team works closely with product teams delivering trustworthy data, backend code, and innovative AI tools, platforms, and services for data. WHAT YOU'LL DO We're looking for a person who drives the Data Engineering Solutions Team in solving high-impact, cutting-edge data problems. The ideal candidate is someone who has built data pipelines for large-scale volume, is deeply knowledgeable of Data Engineering tools including Airflow, Spark, Kafka, and Flink, is empathetic, excels at building strong relationships, and collaborates effectively with other Stripe teams to understand their use cases and unlock new capabilities. • Lead the technical outcomes for a team of ambitious, talented engineers, providing mentorship, guidance, and support to ensure their success • Partner with our recruiting team to attract and hire top talent. • Deliver cutting-edge data pipelines that scale to users' needs, focusing on reliability and efficiency • Develop strong subject matter expertise and manage the SLAs of data pipelines and full-stack web applications that support critical stakeholders • Collaborate with product managers and peers across the company to create and improve canonical datasets and data warehouses, use golden paths, and ensure Stripe employees and customers are using trustworthy data • Leverage AI, LLM, and Agents at scale to produce and analyze high-quality data on ambiguous problems • Have an opportunity to work with Spark, Flink, Kafka, Trino, Pinot, Airflow, Scala, Java, SQL, and Python, and many other big data technologies • Have the opportunity to drive the execution of key data initiatives for Stripe, overseeing the entire development lifecycle from planning to delivery while maintaining high standards of quality and timely completion • Foster a collaborative and inclusive work environment, promoting innovation, knowledge sharing, and continuous improvement within the team WHO YOU ARE We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. MINIMUM REQUIREMENTS • 10+ years of engineering experience with 5+ years of hands-on experience building and operating data systems and pipelines, datasets and data warehouses, infrastructure, and leading small teams to deliver excellent solutions • A strong engineering background and passion for data  • Prior experience with writing and debugging data pipelines using a distributed data framework (Spark, Hadoop, Trino, etc.)  • An inquisitive nature in diving into data inconsistencies to pinpoint issues, and resolve deep-rooted data quality issues  • Knowledge of a backend development language (such as Scala, Java, or Go) and strong SQL experience  • Strong customer focus, with a commitment to partnering with Product Managers, leaders, and other Stripe engineers to understand their use cases  • Effective cross-functional collaboration, with the ability to think rigorously, communicate clearly, and make or coordinate difficult decisions and trade-offs  • Thrive with high autonomy and responsibility in an ambiguous environment • Ability to foster and work in a healthy, inclusive, challenging, and supportive work environment PREFERRED QUALIFICATIONS • Expertise in Iceberg, Kafka, Change Data Capture, Flink, Spark, Airflow, Hive Metastore, Pinot, Trino, and AWS Cloud, and experience influencing open-source contributions • Experience creating and maintaining Data Marts and Data Warehouses to power business reporting needs • Experience working with Product or Go-to-Market (GTM—Sales and Marketing) teams • Genuine enjoyment of innovation and a deep interest in understanding how things work, with the ability to question and direct architectural decisions • Strong written and verbal communication skills for various audiences, including leadership, users, and company-wide stakeholders

Lyten Labs AB

The Data Engineer role exists to ensure that all test‑lab data is trustworthy, accessible, scalable, and usable for engineering, validation, analytics, and decision‑making. The function provides the technical backbone that enables reliable testing, advanced analysis, automation, and long‑term product improvement. The Data Engineer is responsible for designing and operating the data infrastructure that supports all laboratory test activities. This includes connecting test equipment, building pipelines for high‑frequency and large‑volume datasets, ensuring data quality, and enabling engineers, analysts, and scientists to work efficiently with accurate data. As the laboratory and organization expand, the role will evolve into a leadership function that guides the long‑term data strategy and leads a multidisciplinary data team. Key Responsibilities Key responsibilities include (but are not limited to) Design, build, and maintain data pipelines for high‑frequency lab data Integrate test equipment such as battery cyclers (Chroma, Keysight, PEC, PNE), chambers, DAQ systems, and PLCs Develop ETL/ELT processes to transform raw → validated → curated datasets Build scalable data storage solutions (data lakes, time-series DBs, structured metadata stores) Implement data validation, anomaly detection, and quality monitoring Automate data processing for reporting, dashboards, and analysis Ensure data traceability, version control, and audit compliance Work closely with test and validation engineers to understand test profiles, metadata, and measurement methods Support lab technicians with tools that simplify workflows and reduce manual data tasks Integrate with MES, LIMS, PLM, and other enterprise systems Troubleshoot data-related issues in test execution or equipment communication Take increasing ownership of data architecture and long‑term data roadmap Contribute to documentation standards, data governance, and best practices Requirements Qualifications and Experience Engineering in technical data role (Data Engineering, Data Science, Machine Learning) including processing, storage, quality, and management on GCP or AWS +4 years of relevant experience Project management experience Experience in large manufacturing or industrial enterprises with heterogeneous, distributed data sources, demonstrating ability to navigate complexity at scale Specific skills & Knowledge Proven experience scaling and re‑architecting data platforms and infrastructure to handle rapid growth and increasing data volumes Hands-on experience designing and building highly scalable and reliable data architectures using modern cloud and data tooling (e.g., AWS Kinesis, Lambda, Redshift, GCP equivalents; Airflow, dbt; Parquet, Protobuf, Avro) Strong programming skills in Python, SQL, and general-purpose scripting for automation, data processing, and integration Deep understanding of ETL/ELT frameworks (Airflow, dbt, Spark, etc.) and experience building production-grade data pipelines Familiarity with time-series and high‑frequency measurement data, particularly from industrial or test environments Cloud engineering experience in AWS, GCP, or Azure, including serverless architectures, distributed storage, and stream processing Experience with CI/CD, Git-based workflows, Docker, and robust software engineering practices Knowledge of data serialization formats (Parquet, Avro, Protobuf, JSON) and best practices for efficient storage and retrieval Experience integrating systems via APIs; familiarity with hardware communication protocols such as REST, OPC-UA, and Modbus is a strong plus Understanding of machine learning concepts and experience supporting data scientists with structured, high-quality datasets Domain knowledge (Preferred) Solid engineering foundation (electrical, mechanical, chemical, physical), preferably within the energy, electrical testing, or battery domain Understanding of sensor calibration, noise, drift, and data validation

Veritaz AB

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry. Assignment Description We are looking for a Backend Software Engineer for a short-term assignment What You Will Work On Modernize backend services and data processing pipelines Upgrade applications to the latest JDK, Scala 3.x, and Play Framework 3.x Develop and maintain scalable Java and Scala-based backend solutions Support migration of authentication services from legacy APIs to OAuth-based solutions Build and enhance Spark-based batch processing and migration pipelines Design and implement scalable data migration and transformation solutions Utilize GenAI tools to automate code modernization and dependency upgrades Create reusable tooling, prompts, automation assets, and technical runbooks Extend and improve existing Scala and Play Framework applications Collaborate with engineering teams to ensure compatibility, performance, and maintainability Support software quality, testing, deployment, and operational improvements Contribute to continuous improvement and platform modernization initiatives What You Bring Hands-on experience developing and supporting production-grade Java and/or Scala services Strong backend development experience in enterprise environments Familiarity with Play Framework and its internal architecture Experience working with Apache Spark for large-scale data processing Knowledge of OAuth-based authentication and authorization patterns Understanding of software architecture, system integration, and backend modernization Strong problem-solving and analytical skills Ability to work independently and collaboratively in fast-paced environments Excellent communication and teamwork skills

Agil arbetskraft Sverige GF AB

Vi söker en erfaren kravanalytiker till ett uppdrag hos Skolverket. Uppdraget handlar om att stödja myndigheten i arbetet med att analysera, definiera och dokumentera krav inför upphandling av ett nytt handläggningssystem för komplex ärendehantering. Systemet ska stödja verksamheten inom bland annat statsbidrag och lärarlegitimation, där det finns behov av ett modernt och ändamålsenligt systemstöd för administrativa processer, digitalisering och automation. Om uppdraget I rollen kommer du att arbeta nära verksamhet, IT och inköp för att säkerställa en tydlig, strukturerad och kvalitetssäkrad kravbild inför kommande upphandling. Du kommer bland annat att: samla in, analysera och dokumentera krav arbeta med både funktionella och icke-funktionella krav ta fram kravunderlag inför upphandling av IT-system/teknisk plattform bidra i dialogen mellan verksamhet, IT och inköp arbeta med krav kopplat till komplex ärendehantering och handläggningsprocesser stödja verksamhetsutveckling, digitalisering och automatisering bidra till tydlighet, struktur och kvalitet i kravmaterialet Obligatoriska krav Vi söker dig som har: minst 3 års erfarenhet av kravställning för upphandling av tekniska plattformar minst 3 års erfarenhet av arbete med både funktionella och icke-funktionella krav minst 3 års erfarenhet från digitaliserings- och systemutvecklingsprojekt inom myndighet minst 2 års erfarenhet av kravställning för betallösningar med kortbetalning och Swish minst 2 års erfarenhet av verksamhetsutveckling och digitaliseringsarbete med fokus på automation och AI mycket god förmåga att kommunicera, vara lyhörd och samarbeta med olika intressenter mycket god svenska i tal och skrift Meriterande erfarenhet Det är meriterande om du har erfarenhet av: kravställning i implementationsprojekt för plattformar avsedda för komplex handläggning modellering av verksamhetsprocesser och informationsmodeller i Sparx Systems Enterprise Architect verksamhetsutveckling och digitaliseringsarbete inom skolsektorn kravställning och/eller verksamhetsutveckling inom offentlig sektor framtagande av kravunderlag inför upphandling av IT-system arbete i upphandlingsnära projekt med koppling till LOU Profil För att lyckas i rollen tror vi att du är strukturerad, analytisk och trygg i att leda kravarbete i komplexa verksamheter. Du har god förmåga att skapa tydlighet, fånga upp olika perspektiv och omsätta verksamhetens behov till konkreta och upphandlingsbara krav. Du är van att samarbeta med många olika intressenter och kan kommunicera på ett pedagogiskt sätt med både verksamhet, IT och inköpsfunktion. Vi erbjuder 32 dagars semester Tjänstepension Friskvårdsbidrag Utbildning/kompetensutveckling Stöttande team Ansökan Skicka in ditt CV och en kort beskrivning av hur din erfarenhet matchar skallkraven. Urval sker löpande.

Castra Group AB

Vi utmanar de traditionella konsultbolagen och vi kan med stolthet säga att Castra är konsultbranschens mest utvecklande arbetsplats där allt är möjligt. Känns det här som företaget för dig så läs gärna vidare. Om rollen Som Senior Enterprise Arkitekt är du drivkraften bakom utformningen av en hållbar teknisk arkitektur som effektivt hanterar komplexiteten i våra kunders verksamheter. Du arbetar nära affärs- och teknikteam för att säkerställa att våra lösningar är både innovativa och väl förankrade i moderna arkitekturprinciper.  Dina ansvarsområden Leda arkitekturinitiativ som driver affärsvärde och teknisk innovation. Utforma och implementera skalbara, säkra och prestandaoptimerade lösningar. Översätta affärsbehov till tekniska strategier och arkitekturer. Säkerställa att arkitekturen följer bästa praxis och branschstandarder. Skapa tydlig och omfattande arkitekturdokumentation som stödjer beslutsfattande och implementering. Identifiera och hantera risker kopplade till tekniska lösningar och arkitektur. Kvalifikationer och erfarenhet Djup kunskap inom moderna arkitekturprinciper och metoder. Erfarenhet av tekniska områden som nätverk, databaser, molntjänster, IT-säkerhet och integration. Relevanta certifieringar, t.ex. Sparx Enterprise, TOGAF, AWS Certified Solutions Architect, eller motsvarande. Stark analytisk förmåga att lösa komplexa problem och utforma praktiska lösningar. Erfarenhet av att arbeta i tvärfunktionella team och hantera flera intressenter. Kunskap om att bygga skalbara och prestandaoptimerade system. Gedigen erfarenhet av att arbeta med IT-säkerhet och riskhantering. Låter detta i det stora hela som du? Tveka inte att höra av dig så tar vi ett möte redan kommande vecka!   Varför ska du välja oss? Här tror vi på frihet, möjligheter och medbestämmande. Att du som medarbetare ska ha möjlighet att utvecklas och forma ditt arbete utefter dina intressen och prioriteringar i livet. Att alla får vara med och forma och påverka bolaget genom delägarskap, advisory board och projektgrupper. Att det är viktigt att ha ett sammanhang, känna tillhörighet och att man har kollegor som stöttar, utvecklar och tror på en. Om Castra  Castra är en entreprenörsdriven konsultgrupp inom IT, management och systemutveckling. Bolaget ägs gemensamt av medarbetarna och tillsammans bygger vi det företag vi själva vill jobba på. Vår vision är att vi ska vara Sveriges bästa arbetsgivare för konsulter. Att vi blivit certifierade av Great Place to Work® fem år i rad är ett bevis på våra höga mål kring företagskultur. Våra tankar om delaktighet, påverkansmöjligheter och respekt för individens egna val och möjligheter fungerar. Företaget har kontor i Göteborg, Stockholm, Sundsvall, Helsingborg, Malmö, Linköping, Norrköping, Örebro och Jönköping. Mer information om Castra-koncernen hittar du på vår hemsida www.castra.se. Har vi lyckats väcka din nyfikenhet? Sök direkt via länken eller kontakta Charlotta.Ljung@Castra.se

Stripe

WHO WE ARE ABOUT STRIPE Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. ABOUT THE TEAM Before Stripe, every growing internet platform had a payments team. Today, every growing internet platform has an Identity team. Identity verification has become core economic infrastructure for online businesses — enabling them to digitally verify their users' identities for fraud prevention, regulatory compliance, and trust and safety purposes. At Stripe, we're building something more ambitious than a verification product. Our vision is to build the world's most trusted store of verified identities — a single, global, reusable, risk-scored representation of every individual who interacts with Stripe and beyond. This Identity Store becomes a platform with compounding network effects: more verifications enrich the store; a richer store produces better fraud signals; better signals mean lower friction for trusted users; lower friction drives more adoption. Our product today serves millions of verifications per month for customers like OpenAI, Shopify, and WhatNot, and powers identity verification across multiple internal Stripe products including Fraud, Link, Connect, and Crypto. The problems ahead — adversarial AI and deepfake defense, networked identity infrastructure, progressive verification platforms, and low friction KYC APIs — sit at the frontier of what's possible in identity engineering. This role is open to candidates based in our Seattle, New York, or San Francisco offices, or remote within the US. For Stripes who live within 35 miles of an office, we offer a hybrid work environment with an expectation of in-office presence 50% of your working days each month. WHAT YOU'LL DO As a Full Stack Staff Engineer on the Identity team, you will own the technical direction of one of Stripe's most strategically important product areas. This is not a role defined by task execution — it's a role defined by technical judgment, architectural influence, and the ability to turn an ambitious vision into a reliable, scalable system. RESPONSIBILITIES * Own technical strategy — Define the architecture for Identity's core systems (Identity Store, headless verification platform, fraud detection infrastructure), make build vs. buy vs. partner decisions, and surface technical risks before they become customer-facing failures * Lead 0-1 platform development — Architect net-new systems including the Identity Store, Networked Identity platform, and advanced fraud detection pipeline (behavioral biometrics, deepfake discriminators, adversarial training). Drive the evolution from a hosted-UI product to a headless-API and embedded-components platform * Drive cross-functional alignment — Be the primary technical voice in roadmap and resourcing discussions. Partner with ML, product, legal, and engineering leads across Risk, Fraud, Link, Connect, and Crypto to ensure Identity's abstractions serve the full breadth of Stripe's product surface * Raise the technical bar — Set engineering standards across ML, backend, mobile, and front-end; lead design reviews; and mentor senior engineers on the judgment needed to operate a high-stakes, externally-facing product * Operate with ownership — Be accountable for reliability, scalability, and security of the systems you design — including the observability and alerting that catch model drift and fraud pattern shifts before customers do WHO YOU ARE We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. MINIMUM REQUIREMENTS * 10+ years of software engineering experience, including 5+ years of experience in a strategic technical leadership role * Experience leading engineering team(s) working on API design, abstractions, frameworks, or client libraries (e.g. building internal or external developer products) * Proven track record of delivering pragmatic solutions that accelerate business growth * Ability to adjust conversations from high-level discussions to detailed coding * Clear and persuasive writing and in-person communication PREFERRED QUALIFICATIONS * Experience with identity verification, fraud detection, or trust and safety systems — especially systems with adversarial inputs at scale * Familiarity with ML systems in production: model serving, training pipelines, observability, drift detection, and the feedback loops that keep models accurate under adversarial conditions * Experience building platform products with multiple consumer types — internal platform teams and external developers — where API backward compatibility and abstraction quality are first-class concerns * Prior experience with 0-1 product builds: you've started with a blank page and ended with a production system, and you have clear opinions about what makes that process go well or poorly * Experience across a range of software languages and frameworks; our stack includes primarily Ruby and TypeScript on the backend, Python for ML and data pipelines, with infrastructure spanning Kafka, Temporal, Protobuf, React, SQL (Spark and Trino dialects), Airflow, Bazel, Mongo, Splunk, and Prometheus * Experience navigating ambiguity in a fast-moving organization — you can make confident technical decisions with incomplete information and update gracefully when new constraints emerge