Senior Azure Data Engineer
Summary
Design, build and maintain scalable data pipelines using Azure, Databricks, PySpark and SQL, modernizing enterprise data platforms for a sustainable stainless steel manufacturer.
Outokumpu is accelerating the green transition as the global leader in sustainable stainless steel.
Our business is rooted in the circular economy: our products are made from 95% recycled materials and are fully recyclable. Our stainless steel is used across society—from infrastructure and mobility to household appliances.
We are committed to the 1.5°C climate target and, with up to 75% lower carbon footprint than the industry average, we help our customers reduce their emissions.
Together, we are working towards a world that lasts forever. Outokumpu employs approximately 8,200 professionals in close to 30 countries, with headquarters in Helsinki, Finland, and shares listed on Nasdaq Helsinki. Learn more at www.outokumpu.com.
What you’ll do
- Design, build and maintain scalable data pipelines using Azure, Databricks, PySpark and SQL.
- Develop ETL/ELT solutions and integrate data from SAP, databases, APIs and cloud platforms.
- Build modern lakehouse architectures with Databricks and Delta Lake.
- Modernize enterprise data platforms and migrate legacy data warehouses to Azure.
- Optimize data pipelines, Spark workloads and SQL performance.
- Implement data governance, security and monitoring.
- Contribute to CI/CD, automation and engineering best practices.
- Collaborate with platform, analytics and business teams to deliver reliable data solutions that support reporting, analytics and AI.
What we’re looking for
- Strong experience in data engineering and enterprise data platforms.
- Hands‑on expertise with Databricks, PySpark, SQL and Delta Lake.
- Experience with Azure Data Factory, ADLS, Azure SQL, Synapse and Azure Functions.
- Knowledge of data warehousing, dimensional modelling and modern lakehouse architecture.
- Experience with CI/CD, Git and Azure DevOps.
- Strong analytical, problem‑solving and collaboration skills.
Nice to have
- Experience with Databricks Lakeflow, Delta Live Tables or streaming architectures.
- Knowledge of Terraform and infrastructure automation.
- Experience supporting AI/ML, GenAI or RAG data solutions.
- Experience modernizing legacy data warehouses or integrating SAP data.
What We Offer
- International, diverse, and highly collaborative working environment
- Hybrid work model (2 times per week on-site)
- Private life insurance (Ergo Hestia)
- Comprehensive medical care (Lux Med)
- Pension scheme (PPK with PZU)
- Multisport card supporting an active lifestyle
- Annual performance bonus (STI) rewarding results and contribution
- Accident‑free bonus awarded when defined safety targets are met and no incidents occur on the manufacturing site
- Modern office located at Żelazna 2, Katowice
Salary range in Poland: 13,880 - 17,340 zl. gross. Final offer depends on candidate experience and competence.