Hybrid Data Engineer – Lakehouse & Cloud Analytics
Summary
Builds and optimizes ETL pipelines for a lakehouse architecture using Python/Spark, SQL, and cloud tools to support enterprise-scale data workloads in Commercial Risk Solutions.
Aon is seeking a Data Engineer to join its Kraków-based hybrid team, focusing on enterprise-scale data workloads and a lakehouse architecture within Commercial Risk Solutions. The role involves building and optimizing ETL pipelines, ensuring data quality, and collaborating with a cross-functional team on a global program.
Candidates should have strong Python/Spark, SQL, and cloud data stack experience, with a STEM degree and knowledge of Databricks, Azure DevOps tools, and data governance