Azure Data Engineer (Data Lake Ownership)
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About the Role
Own end-to-end Azure data lake build and operations. Design and build Azure-based data lake (ADLS, ADF, Synapse/Fabric), develop production-grade Spark pipelines, own data modelling for Power BI, implement data governance, and take full ownership of platform BAU.
Key Skills for This Role
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Overview
Own end-to-end Azure data lake build and operations Hands-on Spark + Azure expert with production-scale deliveryDesign 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, cost5-7 years' Data Engineering experience with at least 1 full data lake deliveryExpert in Azure stack (ADF, ADLS, Synapse/Fabric) + strong PySparkProven 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 BIEnd-to-end ownership of a business-critical data platform Exposure to large-scale transformation and senior stakeholders
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