Senior Databricks Engineer
Core
Build and maintain scalable data pipelines and transformation solutions on Azure Databricks for Central and Eastern Europe clients.
Role type
Senior Data Engineer (Databricks & dbt)
Builds
End-to-end data delivery pipelines, Bronze/Silver/Gold models, and dbt transformation layers
Domain
Data Engineering, Lakehouse Architecture, Azure Cloud
Deliverable
production ML models
Required skills
Azure Databricks, dbt Core/Cloud, SQL, Python, PySpark, Lakehouse architecture, Bronze/Silver/Gold modelling, Databricks Asset Bundles, Databricks Workflows/Lakeflow, Unity Catalog, Git, CI/CD
Preferred skills
Technical-lead experience, Azure Data Factory, Databricks AI capabilities, Power BI, coaching junior engineers
Technologies
Azure Databricks, dbt, Python, PySpark, SQL, Unity Catalog, Databricks Workflows, Databricks Asset Bundles, Azure Data Factory
Responsibilities
Build and maintain data pipelines using SQL, Python, and PySpark; Develop and maintain the dbt transformation layer including models, sources, snapshots, and tests; Translate business logic into modular staging, intermediate, and mart models; Monitor data quality and orchestrate workflows; Work with Unity Catalog for access controls and governance; Collaborate with Data Architects and Technical Leads; Contribute to platform standards and code reviews; Support integrations with Azure SQL and Azure Data Factory; Explore AI use cases on Databricks; Coach junior Data Engineers
Seniority
Senior, hands-on IC with mentorship responsibilities