Azure Data Engineer
Summary
Data engineer on Outokumpu's internal Data team, designing and maintaining scalable data pipelines and lakehouse solutions on Azure, Databricks, and SQL; integrating SAP, databases, and APIs, modernizing legacy warehouses, and supporting reporting, analytics, and AI. Hybrid 50/50 in Tornio or Helsinki.
Location: Tornio or Helsinki, Finland | Hybrid work: 50/50
We are looking for five Azure Data Engineers, from junior talent to senior professionals, to join our Data team.
Your role
You will design, build and maintain scalable data pipelines and modern lakehouse solutions using Azure, Databricks, and SQL. You will integrate data from SAP, databases, APIs and cloud platforms, modernize legacy data warehouses, optimize performance and contribute to data governance, CI/CD and automation.
Working closely with platform, analytics and business teams, you will deliver reliable data solutions supporting reporting, analytics and AI.
What we’re looking for
- Experience in data engineering, ETL/ELT and enterprise data platforms
- Master’s or Bachelor's degree in relevant field or similar experience
- Familiarity with Azure services such as Data Factory, ADLS, Azure SQL, Synapse and Azure Functions
- Understanding of data warehousing, dimensional modelling and lakehouse architecture
- Experience with Git, CI/CD and Azure DevOps
- Strong problem-solving and collaboration skills
Experience with streaming, Databricks Lakeflow, PySpark, Delta Lake, Terraform, SAP integrations or AI/ML data solutions is an advantage.
What we offer
- An international, diverse and collaborative working environment
- A flexible 50/50 hybrid work model
- Opportunities for growth and involvement in modern data and AI initiatives
The selected candidate will be required to pass a security clearance vetting and health check (including drug tests) before commencing employment