About the Role
We are looking for a Data Engineer to build, extend, and operate cloud-native data pipelines as part of a large-scale Azure data platform. This role covers end-to-end pipeline development - from source system ingestion through Bronze–Silver–Gold transformation layers — along with configuration-based framework extensions, evaluation engine integration, and data quality gate management across multiple data domains.
Key Responsibilities
Design and build end-to-end data ingestion pipelines for multiple enterprise source systems using Fabric Dataflow Gen2 and Event Hub connectors
Implement Bronze–Silver–Gold Delta Table data layering following established schema and field mapping conventions
Write and maintain SQL evaluation logic in Synapse Analytics for automated control assessment across multiple data domains
Perform data quality validation, schema reconciliation, and lineage verification across all pipeline stages
Support parallel-run validation activities ensuring data consistency between automated outputs and source reports
