Data Engineer
The current posting asks for:
Data side: strong SQL, dimensional and Medallion/Lakehouse modelling, data quality practices, and the ability to understand business requirements.
Engineering side: strong Python and PySpark, Git and CI/CD, automated testing, and performance tuning of high-volume workloads.
Hands-on experience with Azure Databricks or Microsoft Fabric, and Azure Data Factory or an equivalent orchestration tool.
Read the employer’s full posting · Posted 2026-10-26
