Senior Spark Data Engineer – ETL, Databricks, Cloud
Summary
Builds and optimizes Spark-based ETL pipelines in Databricks to turn raw insurance data into clean, analytics-ready formats using Spark SQL and Python.
Zurich Insurance is looking for a Data Engineer to transform raw data into usable formats for analysis. This role emphasizes designing ETL pipelines using Spark SQL and Python within Databricks while optimizing engineering workflows for performance.
The ideal candidate should have over 5 years of experience with SparkSQL and Python, alongside a strong proficiency in dimensional modeling. A hybrid working environment is offered to balance work and life.