Outokumpu Chrome Oy
Senior Data Engineer
Senior Data Engineer at Outokumpu (global stainless steel producer) who designs, builds and maintains scalable data pipelines and lakehouse architecture using Azure, Databricks, PySpark, SQL and Delta Lake, while modernizing legacy data platforms and supporting reporting, analytics and AI. Hybrid role (2 days/week on-site) based near Katowice, Poland.
- Compensation
- PLN 13.9K–PLN 17.3K / mo
- Location
- Dąbrowa Górnicza, Poland
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Contract
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- 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
Full description
Select how often (in days) to receive an alert for your keyword search:
- 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 atŻelazna 2, KatowiceSalary range in Poland: 13,880 - 17,340 zl. gross. Final offer depends on candidate experience and competence.