Data Engineer - Azure / Databricks
Summary
Mid-level, hands-on Data Engineer role in Sydney (hybrid) focused on designing, building, and monitoring scalable data pipelines using Azure Databricks and Azure Data Factory. Day-to-day work involves PySpark, Spark SQL, Python, and SQL across Lakehouse/Medallion architecture, plus Azure services like ADLS, Azure SQL, Key Vault, and Azure DevOps.