Data Engineer
Posted
Summary
Azure Data Engineer building and optimising scalable, production-grade data pipelines across the full data lifecycle — ingestion, transformation, modelling and delivery — on a modern Azure platform using Data Factory, Databricks, Logic Apps and Synapse, with advanced Python and SQL and a strong data warehousing/ETL background.
My client is building a modern Azure data platform and looking for two hands-on Azure Data Engineers to design, build and optimise scalable pipelines that turn data into reliable insight.
You’ll work across the full data lifecycle — ingestion, transformation, modelling and delivery — using Azure Data Factory, Databricks, Logic Apps, Synapse and related tools. I
What you’ll do
- Build and maintain automated, production-grade data pipelines - Azure Data Factory (ADF)
- Ingest, transform and model data from multiple sources into an enterprise data platform
- Optimise pipelines for performance, reliability and reusability
- Support data quality, reconciliation and monitoring
- Work autonomously from raw source through to insight
What you’ll bring
- Solid experience with Azure Data Factory, Databricks and Logic Apps
- Strong data warehousing and ETL background (Kimball methodology preferred)
- Advanced Python and SQL Development
- Experience with relational databases, data modelling and BI/analytics environments (Power BI knowledge useful)