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Senior engineer at Nortal embedded in a large Finnish industrial client's team in Helsinki, building an AI-native developer environment and taking agentic AI use cases from prototype to production. Core work spans CI/CD and DevOps, GCP/Azure cloud, LLM/agent frameworks (RAG, MCP), and C#, Python or TypeScript.
Senior engineer at Wave, a ~50-person Finnish tech consulting firm, joining technically demanding customer projects either as an individual specialist or in a cross-functional Wave team. Focus varies by assignment: full-stack/frontend/backend development, AI & data science, DevOps & cloud, cybersecurity, or QA/test automation.
Mid-level backend software engineer at Epassi, a European employee benefits provider, building and maintaining Java Spring Boot services on a cross-functional product team. Day to day: REST API design, testing, code reviews, debugging, CI/CD support — using Java, Spring Boot, JPA/Hibernate, Git, and Docker in an AI-native engineering culture.
Nordea Finance is seeking two Senior Data Warehouse Engineers to join the Data & Application Management team in Helsinki. You will design and optimize our future data platform and own data models, pipelines, and…
Mechanical QA/QC Engineer overseeing mechanical quality on a major data centre build in Finland for an Irish main contractor: inspecting HVAC, pipework and cooling installations, managing ITPs/NCRs, and supporting commissioning through final handover. Salary up to €80,000 with rotational working, flights and accommodation.
A Mechanical QA/QC Engineer oversees quality assurance and control of mechanical installations — HVAC, pipework, cooling systems and building services — on a data centre construction project in Helsinki, coordinating with the construction team and subcontractors from installation through testing, commissioning and final handover.
S-ryhmä (S Group) is hiring an experienced Data Engineer to build a new AWS-based data platform for its Helsinki office and own the management and quality of the data product stack, including large migrations. Requires strong data integration experience, SQL/Python, and modern data store knowledge; hybrid with 2–3 office days per week.
A data engineer at IBM Consulting in Helsinki who designs, builds, and operates batch and real-time data pipelines on the Azure cloud. Core technologies include Azure Synapse Analytics, Data Factory, Databricks, Event Hub, and Cosmos DB.
S-Group is hiring a Data Engineer in Helsinki for its Marketplace (e-commerce) business to build and maintain the data warehouse, ETL pipelines and transformation practices powering one of Finland's largest customer data environments. Core stack: AWS, Snowflake, dbt, Python/SQL, Terraform, CI/CD and Kafka.
Junior Data Engineer at IBM Consulting in Helsinki: design, build, and operate batch and real-time data pipelines on the Azure cloud (Synapse, Data Factory, Databricks, Event Hub) and the data layer on Synapse, SQL DW, and Cosmos DB, applying open-source tools like Airflow, dbt, and Spark with Python or Scala.
Data Engineer at S Group (Suomen Osuuskauppojen Keskuskunta) in Helsinki, building data warehouse solutions and ETL pipelines for the marketplace business within Finland's largest customer data ecosystem. Core stack: Python, SQL, AWS, Snowflake, dbt, Terraform and CI/CD.
Lead S-ryhmä's (S Group) data engineering organization from the Vallila office in Helsinki: manage a ~10-person team plus three supervisors, owning staffing, people management, and long-term data capability development. Needs people-leadership experience and a technical data engineering background (AWS, Snowflake, dbt, Python, Terraform). Hybrid with some remote flexibility.
Data Engineer in Metsä Group's Digital & AI function, building the company's Azure Databricks-based data platform. Day to day: designing and maintaining data pipelines, data models, and reusable data products across Raw, Harmonized and Business (medallion) layers to enable analytics and AI. Core stack: Azure Databricks, Azure Data Factory, SQL, Python.
Data Engineer for S Group's Loyalty team in Helsinki, building a new AWS-based data warehouse that powers customer insight, analytics, reporting and future AI. Day to day you design, build and maintain data pipelines, models and data quality using SQL, Python, Glue, Athena, Lake Formation, dbt, Snowflake and PySpark, in a hybrid setup (office 2-3 days/week).
Data engineer at Metsä Group in Espoo building and evolving an Azure Databricks-based data platform and AI-ready data foundations. Day to day, they design data models, pipelines, and reusable data products that power analytics, reporting, and AI across the group, collaborating with data architects and other IT teams.
Designs, builds, and maintains data integrations and solutions from research platforms and Luke's data sources, as part of a Data Engineer team responsible for Azure data infrastructure and cloud environment operations, enabling broad data use in research and decision-making. Requires a team-oriented professional fluent in Finnish and another language (text truncated).
S Group (SOK) in Helsinki is hiring a permanent, full-time Data Engineer to build and own the data foundation for its fast-growing Retail Media business — developing data pipelines, orchestration, data models and quality on AWS, Snowflake, dbt and Airflow/Prefect/Dagster. Hybrid: 2-3 days/week at the Helsinki office.
Data Engineer at S Group (Suomen Osuuskauppojen Keskuskunta) in Helsinki, building and maintaining the data foundation for the company's growing Retail Media business. Day to day they design, build and orchestrate data structures and pipelines, ensure data quality, and independently deliver solutions for analytics, reporting and AI, working closely with data and business teams.
Head of Data Engineering for S Group's AI & Analytics unit, leading a ~10-person data competence organization from the Vallila office in Helsinki (hybrid, partly remote). The role focuses on recruitment, people leadership, and long-term development of data capabilities.
A fixed-term Data Engineer for the Finnish Red Cross CRM unit in Helsinki, building the organization's data capability and fundraising analytics on Microsoft Fabric. Day to day: designing and building data pipelines and secure data warehousing, defining data models, automating recurring data tasks and campaign audiences, and developing reporting together with a BI developer.
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