Azure Data Engineer (Data Lake Ownership)

Job Description Roles & Responsibilities Own end-to-end Azure data lake build and operations Hands-on Spark + Azure expert with production-scale delivery Design and build Azure-based data lake (ADLS, ADF, Synapse/Fabric) Develop production-grade Spark pipelines (batch & near real-time) Own data modelling for Power BI (star schema, semantic layers) Implement data governance, lineage, and quality controls (e.g. Purview) Take full ownership of platform BAU: monitoring, performance, cost Desired Candidate Profile 5-7 years' Data Engineering experience with at least 1 full data lake delivery Expert in Azure stack (ADF, ADLS, Synapse/Fabric) + strong PySpark Proven ownership of production pipelines (design, deploy, operate) Strong SQL & Python; experience with APIs, ERP integrations (e.g. D365) Demonstrated experience structuring data specifically for Power BI Company Industry IT - Software Services Department / Functional Area IT Software Keywords Azure Data Engineer (Data Lake Ownership) Get real-time job updates only on our App