Middle Data Engineer (Azure Databricks)
On-site · Gdańsk, Pomerania, Poland
Job Summary
Middle Data Engineer responsible for designing, developing, and maintaining modern data pipelines and Lakehouse architectures using Azure Databricks, PySpark, SQL, Delta Lake, and Azure Data Factory. Collaborates with BI teams to support Power BI reporting, evolves cloud-based data architectures, and ensures data quality, scalability, and performance for large-scale datasets. Requires 3+ years in data engineering or data warehouse development and hands-on experience with Azure Databricks, PySpark, Spark SQL, Delta Lake, and Azure Data Factory; familiarity with SQL Server and related ETL/ELT processes. Remote work culture offered with relocation program and opportunities for growth, certifications, mentorship, and internal mobility.
Required Qualifications
- 3+ years of experience in Data Engineering or Data Warehouse development
- Experience with Azure Databricks
- Experience developing data pipelines using PySpark and Spark SQL
- Solid understanding of distributed data processing and big data concepts
- Experience working with Delta Lake and Lakehouse architectures
- Strong SQL skills and experience with SQL Server relational databases
- Experience building data pipelines using Azure Data Factory
- Experience handling large datasets and performance optimization
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