Data Engineer w Warszawa, Polska

Job Description: Data Engineer, LDWH Migration Programme Level: Senior / Mid-Senior Main Responsibilities: Develop and maintain data pipelines using Azure Databricks. Implement ETL processes, ensuring data quality and integrity. Read and comprehend complex SQL stored procedures. Translate architecture direction into engineering delivery. Conduct data profiling and quality assessments. Define acceptance criteria for data transformation. Collaborate with the programme team to support overall migration efforts. Participate in CI/CD processes for efficient deployment. Key Requirements: Senior hands-on experience with Azure Databricks (jobs, clusters, Unity Catalog, SQL warehouses). Expertise in PySpark / Python for transformation logic and ETL pipelines. Solid working knowledge of Delta Lake (schema evolution, MERGE, time travel). Advanced SQL skills (complex queries, window functions); ability to comprehend legacy ETL. Familiarity with Databricks Asset Bundles (DAB) and CI/CD practices (Azure DevOps, Git). Working knowledge of Azure Data Lake Storage Gen2. Comfortable understanding legacy ETL processes and source data profiling. Experience with data reconciliation (defining criteria, interpreting discrepancies). Ability to articulate requirements for junior engineers. Fundamental knowledge of Power BI / Tableau. Nice to Have: Experience in platform engineering and configuration refactoring using YAML. Ability to maintain environment governance across DEV, QAS, and PRD. Skills in source feasibility analysis for new data sources. Capability in transformation development across various data zones using PySpark and Delta Lake. Familiar with implementing acceptance criteria and conducting quality checks. Other Details: This position is part of a complex and dynamic migration programme and is pivotal for ensuring the successful transition of data systems. Remote engagement options are available, and collaboration with an internal team is essential.