Azure Databricks Data Engineer
Remote · Czechia
Job Summary
Azure Databricks Data Engineer responsible for building and operating enterprise-grade data pipelines on the Azure Databricks platform. Design scalable Spark-based pipelines (batch + streaming) using Delta Lake with governance via Unity Catalog, and implement orchestration through Databricks Jobs and DLT. Ensure production-readiness with monitoring, error handling, and performance tuning; enable controlled deployments with CI/CD. Collaborate with data scientists, analysts, and platform engineers to deliver reliable, scalable data products in a cloud-native environment on Microsoft Azure. Integration work with ADLS Gen2, Data Factory/Synapse, Key Vault, and Azure AD. Location: Prague, Czech Republic, with remote work within the Czech Republic; occasional in-office collaboration and European travel may occur. Emphasis on data quality, governance, and automation.
Required Qualifications
- Experience with Azure Databricks
- Strong knowledge of Apache Spark (PySpark / Scala, Spark SQL)
- Delta Lake knowledge (ACID, partitioning, schema management, CDC)
- Experience designing scalable data pipelines (bronze/silver/gold architecture)
- Experience with both batch and streaming data processing
- Governance & security experience (Unity Catalog)
- Experience with ADLS Gen2, Data Factory/Synapse, Key Vault, Azure AD
- DevOps & CI/CD familiarity
- Ability to optimize Spark workloads and perform troubleshooting
- Experience with monitoring, logging, and alerting for data pipelines
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