Sökresultat för "GC"

GCC7 Services Ltd.

Contract Type: 2 year contract that is renewed Our company is the destination for experienced, determinate, hardworking and ambitious professionals seeking a rewarding career and lifestyle. We are one of the best providers specializing in the management of strategic activities surrounding sales and customer relations for online financial products trading. Currently we are looking for fluent Swedish Speaking Account Managers who is (are) looking to work in a dynamic environment with opportunities for further professional and personal growth. Job description We are seeking a top performing Trading Coach with B2B and B2C experience who will build and maintain client relationships. In this role you will be asked to manage a portfolio of clients primarily over the phone. You will foster good client relationships aiming at ongoing trading activity and the achievement of specific revenue targets. You bring to the role your sales experience, capacity to solve client issues, a passion for the financial markets and a proven track record for delivering exceptional results. Responsibilities . Develop strategic account and portfolio plans work with assigned team. . Build solid relationships and trust with clients and improve business over the phone . Bring sales experience along with industry insights. . Exceed client expectations via responsiveness, providing insights, marketplace knowledge, resolving technical issues. . Ability to quickly respond to client requests. . Strong problem solving. . Meeting and exceeding set daily retention targets. . Liaising with dormant clients and converting them into active ones. Requirements . Fluent in Swedish . Flexibility to maintain focus through change and thrive in difficult situations . Proven ability to multitask & work under pressure and build ongoing relationships . Excellent written and verbal communication and presentation skills . Proven track record of exceptional performance, high productivity and meeting deadlines . Infectious sense of enthusiasm, fun, and imagination associated with a group committed to developing the best search sales experiences in the world . Experience with focus on Sales/Account Management . Strong ability to work under pressure and target oriented . We are looking for candidates with a strong personality with a substantial experience in the same role. Preferred Qualifications . Bachelor's degree preferably in Economics/Finance . Previous experience in working with revenue generating targets Salary 1500 euro gross + bonuses. Other Benefits: . Super fun international environment - around 200 employees in a huge open floor office setup . Weekly food allowance benefits (applied after three months veterancy) . Local discounts in variety of surrounding cafés, GYMs, real-estate agencies, and similar . Generous incentivizing budgets with great prizes, competition, and off-site activities! . 300 sunny days per year in Malta How the interviews will be held Via Skype or in person To apply CVs and a covering email are to be sent by email to eures.recruitment.jobsplus@gov.mt and should be written in English. Please quote the vacancy name and number in your email.

Swedbank AB

Do you enjoy working in a dynamic and evolving environment where your ideas matter and your expertise helps create real value for people? At Swedbank, we believe in building solutions that make everyday life easier and more secure for our customers — and we want you to be part of that journey.In Swedbank you have the opportunity to: Develop, test, analyze and manage systems/applications for Swedbank's Contact Center plattform Work together with other developers and agile teams to make sure we deliver the best solution for our customer center Opportunity to shape innovative customer experience solutions. To work in a collaborative, forward-thinking, and supportive work environment. Professional growth. What is needed in this role: Core Genesys Cloud Skills Genesys Cloud Architect: Designing inbound/outbound call, email, and message flows, including reusable tasks and secure flows. Data Actions & Integrations: Building and troubleshooting data actions that connect to RESTful Spring Boot services. Genesys SDKs & APIs: Experience with the Platform API, Notifications API (WebSockets), and Analytics API. Scripting: Creating dynamic Agent Scripts integrated with the Genesys Cloud Embeddable Framework. Web Messaging & Digital: Implementing Web Messaging (v3) with custom deployment and journey tracking. Outbound Campaigns: Configuring Predictive, Power, and Agentless dialing modes. Security (OAuth): Implementing secure authentication flows (Authorization Code, Client Credentials, PKCE). Minimum 3+ years of relevant education (Computer Science, Information Technology, Software Engineering, or similar). At least 3+ years of experience in the IT industry, ideally within software development, integrations, or cloud-based platforms. Key Responsibilities: Build and maintain intelligent, customer‑friendly IVR and routing flows. Collaborate closely with Java/Spring Boot teams on integrations and data models. Use CX as Code (Terraform provider for Genesys Cloud) to manage configuration across Dev, UAT, and Production environments. Analyze and optimize performance, including API rate limits and notifications. Support teams embedding Genesys widgets into our custom Angular agent desktop. With us, you can experience: Personal and professional growth through self-leadership and continuous development. Meaningful work that positively impacts our workplace, our customers, and society. An open and collaborative culture that encourages cross-functional teamwork and provides networking opportunities. A supportive and inclusive environment that promotes a balanced and sustainable work-life, with flexible working conditions when suitable for the role. Benefits such as our share based reward program Eken, company pension plan, employee offer for banking products, health insurance. "Join our team and... become part of an international team of professional colleagues, who work together to deliver challenging projects, maximize customer satisfaction and contribute to Swedbank's position in society." Elin Glans, your future manager We look forward to receiving your application by 30.09.2026.  Location: Stockholm, Sundbyberg Recruiting manager: Elin Glans, +46 722496974 We want to inform you that the selection process may begin after the summer holidays. We would like to let you know that a background check and a drug test may be a part of the process for this role. We have made our choice regarding recruitment media and therefore kindly decline contact with ad sellers or sellers of other recruitment services. Swedbank does not discriminate anybody based on gender, age, sexual orientation or sexual identity, ethnicity, religion or disability – everybody is welcome. #LI-MA1 #LI-Hybrid

Legora

ABOUT US Legora is redefining how legal work gets done. Not built for lawyers, built with them. We work alongside the world’s best legal teams, who expect excellence, precision, and speed, and we hold ourselves to the same bar. Our AI-native workspace lets legal professionals move faster, think more clearly, and operate with sharper precision. By analysing thousands of documents in minutes and powering end-to-end workflows, we cut through complexity, teams can focus on what matters: judgment, strategy, and outcomes. 1,000+ customers across 50+ countries trust us, including Cleary Gottlieb, Goodwin, Linklaters, White & Case, Dentons, and Barclays. We’ve scaled to $100M+ in ARR, with teams across Europe, North America and APAC, and continue to expand through acquisitions including Qura, Walter AI and Graceview. We partner with world-class performers: including Aaron Judge and the New York Yankees, Ludvig Åberg (and his caddie), and campaigns featuring Jude Law. Joining Legora means three things. * We lean in: ownership over titles, outcomes over intentions. * We fight for excellence: high standards, direct, ego-free feedback. * We grow together: as a team and with our customers. Mission before ego. Everyone contributes. No one coasts. If you’re driven by impact, pace, and raising the bar. This is the place. The role As a Platform Engineer at Legora, you’ll join an enabling team focused on making life easier for developers. Your mission: improve reliability, boost performance, and build a rock-solid platform that scales with the company. You'll work hands-on across infrastructure and backend systems, helping teams ship faster, safer, and smarter. What you will be doing: * Build the core infrastructure and reliability abstractions that all our engineering teams use * Sit with all teams and help them structure their SRE efforts: observability, alerting, fault tolerance and reliability * Proactively monitor our infrastructure and develop it for hyperscale and reliability * Contribute to incident response and post-incident learning * Work with Pulumi on primarily Azure, but also AI deployments on AWS and GCP Who you are * You have years of experience as a backend engineer but have solid infrastructure, observability, monitoring know-how * Experience with Kubernetes * Experience with Pulumi (preferred) or similar IaC tools like AWS CDK, Terraform * But most importantly, you are someone who * “Gets stuff done” and understands building a $10bn company isn’t always glamorous and takes hard work and long hours * Proactively and independently solves the most burning problems * Strives in a fast-paced environment where the answers aren’t always clear and processes are few Legora is an Equal Opportunity Employer At Legora, we believe great teams are built on diversity of thought and experience. We’re proud to be an equal opportunity employer and committed to creating an inclusive, high-performance culture where everyone can do their best work. We welcome people of all backgrounds and don’t discriminate based on race, color, religion, national origin, gender, gender identity or expression, sexual orientation, age, disability, veteran status, or any other characteristic protected by law.

Valtech

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

Valtech

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

Valtech

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

Randstad AB

Arbetsbeskrivning Om rollen Vi söker nu för kunds räkning en noggrann och analytisk validerare med fokus på råmaterial. Vår kund är ett innovativt bolag i Malmö. Som validerare hos dem spelar du en avgörande roll i att säkerställa att ingående material håller högsta kvalitet och uppfyller strikta regulatoriska krav. Ansvarsområden Dina huvudsakliga arbetsuppgifter I rollen kommer du att ansvara för validering och kontroll av inkommande råmaterial, vilket inkluderar allt från salter till olika typer av lösningsmedel som exempelvis metanol. Dina ansvarsområden innefattar: Planera, genomföra och dokumentera valideringsstudier för råmaterial. Utföra kemiska analyser och kontroller enligt gällande specifikationer. Säkerställa att allt arbete sker i enlighet med GMP och interna kvalitetsledningssystem. Tolka resultat och hantera eventuella avvikelser i processen. Kvalifikationer Din profil Vi söker dig som har en stark kemiteknisk bakgrund och som trivs i en laboratoriemiljö där noggrannhet är A och O. Krav för tjänsten: Relevant akademisk utbildning inom kemi, bioteknik eller motsvarande. Erfarenhet av valideringsarbete inom läkemedelsindustrin eller närliggande reglerad verksamhet. Praktisk erfarenhet av instrumentella analysmetoder, med särskilt fokus på IR-spektroskopi och Gaskromatografi (GC). God förståelse för hantering av kemikalier och lösningsmedel. Förmåga att uttrycka dig väl i skrift, då dokumentation är en central del av rollen. Meriterande Erfarenhet av arbete specifikt med peptider eller aminosyror. Kunskap inom vätskekromatografi (HPLC). Om företaget Randstad På Randstad vet vi att alla människor har en plats på arbetsmarknaden. Med verksamhet över hela landet och inom alla kompetensområden hjälper vi människor att hitta ett jobb som känns bra, och där de får möjlighet att växa, utvecklas och uppnå sin fulla potential. Med närmare 600 000 anställda i 38 länder är Randstad världsledande inom HR-tjänster, med målsättningen att bli världens främsta och mest uppskattade partner på arbetsmarknaden. Genom att kombinera vår passion för människor med kraften i dagens teknologi hjälper vi människor och företag att uppnå deras fulla potential. Vi kallar det Human Forward.

Professional Galaxy AB

Build the Future of Technology with Professional Galaxy AB Join a network of talented engineers, developers, cloud specialists, and AI innovators working on impactful projects across Sweden and Europe. At Professional Galaxy AB, we connect top tech talent with companies driving digital transformation in areas like cloud computing, software engineering, data, cybersecurity, and artificial intelligence. Explore exciting opportunities and grow your career while working with cutting-edge technologies and forward-thinking teams. Data Scientist (Machine Learning Focus) We are seeking a Data Scientist with a strong background in machine learning and data engineering, with the following experience: Must-have experience: DBT SQL GitHub Agile ways of working Cloud experience (preferably GCP) Python programming Nice to have: Interest in business applications Experience with Kubeflow Assignment Details Application deadline: 2026-04-30 Start date: 2026-05-04 End date: 2026-11-30 How to Apply Are you the right person for this assignment, or do you want to recommend a strong candidate? Please apply directly via the Professional Galaxy AB portal with: Your updated CV Your availability to start A motivation statement describing why you are suitable for this role, referencing previous consulting assignments, education, and personal qualities Please note: Applications via email will not be accepted. All applications must be submitted through the portal to be valid. Öppen för alla Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.

Iver Sverige AB

Vi på Iver brinner för innovationer och god laganda, vi är särskilt intresserad av dig som gillar att tänka nytt och dela med dig av dina tankar. Vi söker en Cloud Architect som vill bidra till bättre IT-lösningar för våra kunder. Är du vår nya kollega? We empower our Nordic society Iver är en ledande nordisk helhetsleverantör av molnbaserade IT-tjänster med spetskompetens inom drift, cybersäkerhet, cloud och innovation. Våra tjänster är kritiska inte bara för våra kunder utan för digitaliseringen av samhället i stort. Med huvudkontor i Stockholm verkar Iver främst i Norden med en agenda att fortsätta expandera. Iver omsätter drygt 3 miljarder SEK och har cirka 1 300 anställda som arbetar på ett av våra 23 kontor i Norden. Din roll på Iver Vi höjer ribban för vad moderna och innovativa molnplattformstjänster innebär. Det är en spännande transformation, och vi behöver fler resurser för att leverera detta – så om du är en framåtblickande Senior Cloud Architect som andas cloud-native, infrastruktur-som-kod och AI-driven automatisering, är detta din chans att arbeta med de allra bästa inom branschen. Senior Cloud Architect är en nyckelroll inom Cloud Advisory and Engineer teamet och fokuserar på design, implementation och underhåll av molninfrastruktur och tjänster på Azure. Denna roll ansvarar för att säkerställa tillförlitlighet, skalbarhet och säkerhet för molnbaserade lösningar, inklusive komponenter för beräkning, lagring, nätverk och säkerhet. Du kommer att arbeta inom Ivers Cloud Advisory and Engineering Team för att utveckla våra managerade plattformstjänster för Azure och stödja kunders onboarding. Du kommer även att hantera incidenter relaterade till Azure-resurser på en nivå 3-kapacitet, utföra grundorsaksanalys och implementera åtgärder för att förhindra upprepning. Exempel på arbetsuppgifter: Designa, distribuera och hantera skalbar infrastruktur i Azure med Infrastructure as Code (IaC)-verktyg som Terraform, Bicep och ARM. Automatisera och optimera CI/CD-pipelines för effektiv mjukvaruleverans med verktyg som GitHub Actions och Azure DevOps. Implementera och hantera containerisering med Docker och orkestrering med Kubernetes eller AKS. Övervaka, felsök och optimera molnmiljöer för prestanda, skalbarhet och kostnadseffektivitet. Arbeta nära säkerhetsteam för att säkerställa bästa praxis inom molnsäkerhet, inklusive IAM, kryptering och regelefterlevnad. Samarbeta med utvecklingsteam för att implementera DevOps-principer och säkerställa att infrastrukturen är anpassad till applikationens behov. Hålla dig uppdaterad om de senaste molnteknikerna och trenderna samt kontinuerligt förbättra vår infrastruktursetup. Vad erbjuder vi dig? På Iver får du möjlighet att arbeta med den senaste tekniken och vara med på en spännande tillväxtresa. Vi är inkluderande och strävar efter ett genuint samarbete mot gemensamma mål. Inom Iver finns stora möjligheter till utveckling och vi finns här för att inspirera dig till att nå dina yrkesmässiga mål. Vi står bakom dig när du vill lära dig mer inom ditt specialområde, ledarskap eller nya områden. Hos Iver är du också en del av ett ambitiöst och innovativt företag, vilket innebär att förbättra, testa, utvärdera och våga ändra hur vi gör saker är viktiga ingredienser för att vi ska utvecklas. Vi på Iver ger samma löfte till våra kollegor som till våra kunder. Löftet är att alltid vara ”beside you”, ”behind you” och ”before you”. Vi kallar det för "The Iver way". Förmåner hos oss:  📄 Kollektivavtal & trygga villkor 🏠 Hybridarbete 💪 Friskvårdsbidrag 👓 Terminalglasögon ⏳ Tidsbank  – 24 h extra ledighet/år 🩺 Privat sjukvårdsförsäkring  💼 Tjänstepension (ITP) & flexpension  Vem söker vi? Vi söker dig som är en driven Azure-entusiast som är intresserad av att jobba som rådgivande specialistkonsult. Vårt uppdrag är att tillhandahålla expertrådgivning och lösningar för våra kunder i deras tekniska resa. Vi förväntar oss att du med stor nyfikenhet leder dig själv och kunden till nya kreativa lösningar och metoder, och du har en stort intresse för den ständigt pågående cloudtekniska utvecklingen. För att lyckas i rollen hos oss tror vi att du är en god kommunikatör med förmåga att göra komplex IT enkel, du förstår vikten av att arbeta tillsammans för att nå mål och du har god affärsförståelse. Vidare tror vi att du har:  3-5+ års erfarenhet eller motsvarande av implementation och distribution inom Microsoft Azure-plattformen Djup kunskap om Microsofts Cloudlösningar som IaaS, PaaS och Serverless Erfarenhet av automatiseringsverktyg som ARM-template, Terraform, Chef eller Ansible Erfarenhet av Docker och Kubernetes Utveckling eller scripting erfarenhet Kunskap och erfarenhet inom nätverkstopologier och brandväggar Kunskap och erfarenhet inom praxis för säkerhet inom lösningar för infrastruktur, applikationer, IAM eller olika plattformar Mycket god kunskap inom Microsoft-verktyg (Power BI, Intune, Entra ID, AVD) och plattformar t ex som AWS, GCP. För den här rollen krävs flytande i såväl svenska som engelska. Placeringsort: Iver finns på 25 orter i Norden. För denna roll ser vi att du utgår från ett av våra kontor i Stockholm, Malmö, Göteborg eller Oslo. Övrig information: Vi har kunder inom alla branscher och sektorer inklusive säkerhetsklassad verksamhet, därför genomför vi bakgrundskontroller i samtliga av våra rekryteringsprocesser. Sök till oss!  Urval sker löpande, tjänsten kan tillsättas före sista ansökningsdag. Iver eftersträvar en jämn könsfördelning och värdesätter etnisk och kulturell mångfald. Önskad start är snarast eller enligt överenskommelse. Sista ansökningsdag: 2026.04.30. Välkommen att kontakta rekryterande chef Olav Nguyen (olav.nguyen@iver.no) eller rekryterare Thandi Schüler (thandi.schuler@iver.se) vid frågor eller funderingar kring tjänsten.  Vi ser fram emot din ansökan!

Cyberway AB

About Cyberway At Cyberway, we believe that technology can make everyday life simpler, smarter, and more sustainable — for businesses, organizations, and people. That’s why we create solutions that truly make a difference. We combine deep technical expertise with strategic insight, always aiming to transform complex digital challenges into clear, scalable, and future-proof results. We believe in more than just code — we believe in people. It’s the passion, skills, and collaboration of individuals that drive real change. Whether it’s system development, data analysis, UI/UX, infrastructure, or delivery models such as nearshore and team as a service, we build success through experience, innovation, and action — with the right people at the core. The Role We are now looking for an engineer who wants to join our journey. With us, you’ll have the opportunity to work with modern technologies, exciting clients, and projects that make a real impact. The role is diverse — sometimes you’ll work independently, sometimes in teams, always in close dialogue with both customers and colleagues. We believe you have a background that makes you confident in your skills, while also being curious to develop new ones. Most importantly, you want to contribute to building the Cyberway culture together with us. What We're Looking For 1+ experience in SQL and Python within data engineering Basic hands-on experience and familiarity with Google Cloud Platform services such as BigQuery, Cloud Storage, Dataflow, and Pub/Sub Knowledge of Terraform, Dataform, GitHub. Understanding of metadata management and cost optimization Comfortable working independently as well as in a team Excellent communication skills in English and/or Swedish What We Offer Exciting and challenging assignments where you make a real difference A work environment built on transparency, trust, and openness We support you in building the career path that suits you best The opportunity to influence both your own development and Cyberway’s future A culture where innovation, people, and action go hand in hand Location For this role, we are looking for someone based in Skåne, as many of our clients and projects are located in the region.

Securitas

Securitas Group Securitas is a world-leading safety and security solutions partner that helps make your world a safer place. By leveraging technology in partnership with our clients, we offer a broad portfolio of value-enhancing services and solutions integrated across the security value chain – from on-site services to advanced monitoring, comprehensive risk prediction and advisory services. With around 322 000 employees in 44 markets, our innovative, holistic approach with local and global expertise makes us a trusted business partner to many of the world’s best-known companies. Benefitting from almost nine decades of deep experience and guided by our values of integrity, vigilance, and helpfulness, we create sustainable value by helping our clients optimize their operations and protect what matters most - their people and assets. AI Team at Securitas At Securitas, our colleagues show up every day to help keep communities and organizations safe. Our job in the AI team is to make sure they're equipped with the best tools and intelligence possible. We are Securitas' Specialized AI Team - the internal center of excellence for advanced, custom AI. We don't work on generic tools or off-the-shelf solutions. We build the AI capabilities that require deep technical and domain expertise, and that directly move the needle on how Securitas operates at scale. ---------------------------------------------------------------------------------------------------------------------------------- About the role You will be a key technical voice in a small, focused team - someone who shapes how we approach problems, not just solves them. You'll lead the design, development, and production deployment of ML and GenAI solutions that turn raw data into actionable intelligence across a range of real-world problems. The stack we work with Python · PyTorch · LLMs (OpenAI, Gemini, Claude, open-source) · RAG pipelines, Hugging Face · Python analytical tools (DuckDB, polars, Pandas, and more) · Streamlit & Dash · Claude Code · GitHub Copilot · React · Databricks · Docker · SQL/NoSQL · Azure/GCP ---------------------------------------------------------------------------------------------------------------------------------- Responsibilities * Owning the architecture of LLM-powered pipelines that extract structure and insight from large volumes of unstructured text, such as incident reports, operational logs, client data. * Designing and stress-testing end-to-end GenAI architectures (e.g. RAG), prompt strategies, and evaluation frameworks - relevance, faithfulness, hallucination rates, latency tradeoffs - and setting the bar for what "good" looks like on the team. * Building and productionizing workforce management models - demand forecasting, shift scheduling optimization, and attrition modeling - that help deploy officers more effectively. * Developing client churn models that give the business early, actionable retention signals. * Driving the end-to-end ML lifecycle: from problem framing and data strategy through to monitored, production-grade systems. * Translating ambiguous business problems into concrete technical roadmaps - and pushing back when the framing is wrong. * Mentoring junior data scientists and setting technical standards across the team. * Presenting findings, model behavior, and tradeoffs to senior stakeholders clearly and credibly. ---------------------------------------------------------------------------------------------------------------------------------- What you'll bring Must-haves * Around 5+ years of professional data science experience, with a clear track record of successes. * Deep Python skills and strong software engineering habits - your code is readable, tested, and maintainable. * Advanced NLP experience and hands-on work with LLMs at a level beyond prompt experimentation - fine-tuning, evaluation, deployment. * A rigorous approach to GenAI evaluation: you've built frameworks to measure output quality, catch failure modes, and make principled tradeoffs with full lifecycle thinking. * Experience with MLOps fundamentals: deployment, serving, and monitoring of models, CI/CD, Docker, application and service logging, and reproducible pipelines. * Using modern AI coding tools to work as a highly productive data scientist - rapidly exploring ideas, writing and refactoring code, and debugging faster while keeping a critical eye on outputs. * Strong analytical instincts - you can tell when a result is too good to be true and you know how to find out why. * Communication skills sharp enough to run a stakeholder presentation and a code review on the same day. Nice-to-haves * Experience with Databricks for large-scale data processing and collaborative workflows. * Familiarity with LLM evaluation frameworks (Ragas, LangSmith, or similar). * Hands-on experience with forecasting and optimization problems - scheduling, demand planning, or similar. * Experience building interactive data tools for end users, including front-end design, authentication layers, and logging. * Background in a domain where decisions have real operational consequences - logistics, healthcare, security, or similar. ---------------------------------------------------------------------------------------------------------------------------------- Working conditions The role is open for candidates based in Malmö or Stockholm (with preference for applicants in Malmö). It's a hybrid working model. ---------------------------------------------------------------------------------------------------------------------------------- What we offer At Securitas we believe in doing the right thing and doing it well. For our customers and our employees. Our employees come from all walks of life and bring with them many talents and perspectives. We aim for diverse representation throughout the company, and we are committed to equal pay, safe working conditions, gender balance and an inclusive work environment with a wide range of skills and development opportunities. If this sounds like the right next step in your professional career, don't hesitate and apply!

Knowit Group

Forma framtidens datadrivna lösningar i molnet. Är du en erfaren Data Engineer som vill arbeta nära tekniken och bygga robusta dataplattformar i moderna molnmiljöer? Hos Knowit i Göteborg får du möjlighet att ta ett tekniskt ledarskap i uppdrag där kvalitet, skalbarhet och affärsvärde står i centrum – tillsammans med några av Sveriges mest datatunga myndigheter och företag. OM ROLLEN SOM SENIOR DATA ENGINEER PÅ KNOWIT Som Senior Data Engineer hos oss i Göteborg arbetar du med att designa och utveckla avancerade datalösningar i molnet. Du kommer arbeta med moderna principer inom datamodellering, semantic layers och data governance för att skapa robusta och framtidssäkra dataplattformar. Du tar ansvar för arkitekturval, implementation och optimering av pipelines, och fungerar som en teknisk förebild i teamet. Våra uppdrag spänner över både offentlig och privat sektor, där du är med och skapar lösningar där data blir en strategisk tillgång och en central del av verksamheten. DINA HUVUDSAKLIGA ARBETSUPPGIFTER INKLUDERAR: * Designa och implementera skalbara dataplattformar i moln (Azure, AWS, GCP) * Bygga och optimera datapipelines med Python och DBT * Säkerställa hög datakvalitet, prestanda och robusthet i komplexa system * Driva tekniska beslut och bidra till best practices inom data engineering * Stötta team och kunder i arkitektur- och designfrågor VÅR TEKNIKSTACK / VERKTYG OCH METODER * Python, SQL * Dagster, Airflow * DBT, Docker, Kubernetes * Snowflake, DataBricks, BigQuery * Molnplattformar: Azure, AWS, Google Cloud * CI/CD och Infrastructure as Code Vi uppmuntrar ständig teknisk utveckling och du får vara med och påverka både teknikval och arbetssätt i våra kunduppdrag. VEM SÖKER VI? Vi söker dig med minst 7 års erfarenhet som Data Engineer, som är redo att ta ett större ansvar i team och leveranser. Du har gedigen erfarenhet av molnbaserade lösningar, Python och DBT, och är van vid att arbeta nära både teknik och affär. Du är trygg i att leda tekniska diskussioner, fatta beslut och stötta andra. Samtidigt är du prestigelös och trivs i en kultur där samarbete och lärande står i fokus. Erfarenhet av AI och datadrivna organisationer är ett plus. VAD ERBJUDER KNOWIT I GÖTEBORG? Hos oss får du arbeta i uppdrag som gör verklig skillnad – från samhällsviktiga initiativ inom offentlig sektor till innovativa lösningar i industrin. Du får möjlighet att arbeta med välkända organisationer och myndigheter i en miljö där teknik, lärande och balans står i fokus. Vi erbjuder flexibilitet, ett centralt kontor i Göteborg och en kultur präglad av kunskapsdelning kultur, innovation, hållbarhet och en sund balans mellan arbete och privatliv. Vi har ett modern kontor i centrala Göteborg där vi ofta har aktiviter så som AW, föreläsningar och hackathons. ÄR DU REDO ATT TA NÄSTA STEG SOM SENIOR DATA ENGINEER? Välkommen med din ansökan och bli en del av Knowit i Göteborg! Det är just nu semestertider och vi vill förvarna att det kan ta längre tid än vanligt med respons från oss. Vi hoppas du har överseende med det och önskar dig en otroligt bra sommar!

Knowit Group

På Knowit FLX får du det bästa av två världar. Du styr över din ersättning, pension, dina uppdrag och din tid, samtidigt som du har tryggheten i en fast anställning, kollegial gemenskap och säljkraft från ett av Nordens ledande konsultbolag.    AI-utvecklare / Machine Learning Engineer till Knowit Solutions FLX Stockholm   Som anställd hos Knowit Solutions FLX, ett dotterbolag inom Knowit-koncernen, väljer du själv din lön, din pension, din arbetstid och dina uppdrag.  Dina närmaste kollegor är andra seniora konsulter inom systemutveckling, arkitektur och projektledning.   Hos Knowit Solutions FLX är du anställd i ett mindre bolag med korta beslutsvägar, samtidigt som du får ta del av fördelarna med att tillhöra en av Nordens största IT-koncerner.   Knowit är ett av Nordens ledande IT-konsultbolag med över 4 000 medarbetare. Vi har ett stort antal ramavtal inom både offentlig och privat sektor, vilket ger tillgång till spännande kunduppdrag och möjligheter till kompetensutbyte. Hos Knowit får du möjlighet att arbeta både i resursuppdrag och i team- eller projektåtaganden tillsammans med dina kollegor.   Vem är du?  Vi söker erfarna AI-utvecklare till uppdrag hos våra kunder inom både privat och offentlig sektor. Du arbetar med att designa, utveckla och produktionssätta AI-lösningar baserade på maskininlärning och generativ AI, exempelvis lösningar med LLM och RAG. Rollen innebär att bygga skalbara lösningar i molnmiljö, integrera AI-funktionalitet i befintliga system och omsätta nya tekniska möjligheter till konkreta lösningar som skapar affärs- och verksamhetsvärde. Du arbetar nära både verksamhet och utvecklingsteam i uppdrag där AI går från experiment till verklig nytta. Vi tror att du har:   * Erfarenhet av utveckling av AI- och maskininlärningslösningar * Stark kompetens i Python * Erfarenhet av att utveckla lösningar baserade på Large Language Models (LLM) och generativ AI * Erfarenhet av att utveckla RAG-lösningar eller andra lösningar baserade på semantiskt sök och embeddings * Erfarenhet av att utveckla AI-lösningar från prototyp till produktionssatt system * Erfarenhet av API-utveckling och integration av AI-tjänster * Erfarenhet av containerbaserad utveckling, exempelvis Docker eller Kubernetes * Erfarenhet av att utveckla AI-lösningar i molnplattform, Azure, AWS eller GCP * Mycket god förmåga att kommunicera på svenska och engelska i tal och skrift  Varför Knowit Solutions FLX?   Hos oss får du det bästa av två världar: friheten att själv forma din arbetssituation och tryggheten i en fast anställning.   Du blir en del av ett kompetent nätverk av kollegor, får stöd av en stark säljorganisation som matchar dig med rätt uppdrag och har styrkan hos ett av Nordens största IT-konsultbolag i ryggen.   Välkommen med din ansökan!

Knowit Group

Vill du arbeta med moderna dataplattformar i molnet och ta ansvar för hur data byggs, struktureras och flödar genom en organisation? Nu söker vi en Data Engineer med stark kompetens inom SQL och Python och erfarenhet av att utveckla robusta lösningar i molnmiljö. Knowit Solutions Lakehouse Knowit gör en nationell satsning på Databricks med verksamhet i Malmö, Göteborg och Stockholm. Vi samlar spetskompetens inom moderna lakehouse arkitekturer och bygger lösningar som är strategiskt viktiga för våra kunder. Som konsult hos oss behöver du vara intresserad av att arbeta med Databricks och utvecklas vidare inom plattformen. Knowit är partner till Databricks och vi har ett nära samarbete kring kompetensutveckling, initiativ och kunddialoger. Hos oss arbetar du både i projektleveranser och ute hos kund. Det innebär att du får kombinera långsiktigt tekniskt ansvar i våra egna åtaganden med arbete i komplexa miljöer hos några av Sveriges mest teknikdrivna organisationer. Din närmaste chef är COO Emil Raue. Emil är en erfaren ledare med lång bakgrund inom data och konsultbranschen. Han får genomgående höga resultat i medarbetarundersökningar och är känd för sitt tydliga och tekniskt förankrade ledarskap. Om rollen Som Data Engineer arbetar du med att designa, bygga och vidareutveckla moderna dataplattformar i molnet. Du utvecklar och produktionssätter datapipelines och bidrar till arkitektur och tekniska vägval i uppdrag där Databricks ofta är en central del av lösningen. Uppdragen varierar mellan olika branscher och organisationer, men gemensamt är att du arbetar nära utvecklare, arkitekter och tekniska beslutsfattare för att bygga skalbara och robusta datalösningar. Vem är du Du är tekniskt trygg och tar ansvar för kvaliteten i det du levererar. Du trivs i samarbeten med andra utvecklare och arkitekter och har förmåga att omsätta krav till strukturerade och hållbara implementationer. Du drivs av att fortsätta utvecklas inom moderna dataplattformar. Vi söker dig som har * Minst fyra års erfarenhet i rollen som Data Engineer * Erfarenhet av att arbeta i molnmiljöer som AWS, Azure eller GCP * Erfarenhet av att bygga och produktionssätta datapipelines med ETL och ELT * Stark kompetens inom SQL samt Python och PySpark * Gärna med erfarenhet av orkestrering, exempelvis Airflow eller liknande verktyg Vad vi erbjuder Hos Knowit Solutions Lakehouse får du arbeta i tekniskt utmanande uppdrag där du kan påverka arkitektur och tekniska vägval. Du blir en del av ett nationellt specialistbolag med tydlig teknisk riktning och höga ambitioner inom lakehouse och Databricks. Vi erbjuder en trygg anställning med konkurrenskraftiga villkor och ett starkt fokus på kompetensutveckling. Du får möjlighet att certifiera dig inom Databricks och fördjupa din kompetens samtidigt som du är med och formar både din egen utveckling och vår satsning inom området. Det finns också stora möjligheter att engagera sig i presales, hålla föreläsningar och driva seminarier. Vi arbetar aktivt med kunskapsdelning genom interna forum, initiativ och gemensamma kick offer tillsammans med ett mycket kompetent nätverk av kollegor runt om i Sverige. Vi värdesätter även det sociala sammanhanget och arrangerar regelbundet after works och andra aktiviteter. Vill du vara med och bygga framtidens dataplattformar tillsammans med oss på Knowit är du varmt välkommen att ansöka.