Azure Data Engineer - Contract - £525 per day Inside IR35 - 6 months - UK (Remote/Hybrid)
Role details
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Job description
My client are looking for an Azure data Engineer for a 6 month contract working on a major transformation project where a core source system is being upgraded (including changes to data structures), and as a result, existing data pipelines require re-engineering.
While ingestion is largely complete, there is significant work remaining across transformation layers and downstream reporting, analytics, and data feeds.
They are looking for a solid, hands-on Azure Data Engineer to come in and help stabilise, enhance, and deliver robust data pipelines in a modern Azure environment., * Update and refactor existing data pipelines to align with new source system structures
- Build and optimise ETL/ELT pipelines for transforming and curating data for downstream use
- Work across data ingestion, transformation, and serving layers (bronze/silver/gold or equivalent)
- Collaborate with analysts and business stakeholders to support reporting and analytics requirements
- Ensure data quality, integrity, and consistency across pipelines
- Troubleshoot and resolve data issues across the platform
- Contribute to data modelling and schema design for analytics use cases
- Support deployment, monitoring, and performance tuning of pipelines
- Work within an Agile delivery environment, contributing to stand-ups and sprint activities
Requirements
- Strong experience as an Azure Data Engineer in enterprise environments
- Proven experience with:
- Azure Data Factory (ADF) - pipeline development & orchestration
- Azure Data Lake (ADLS Gen2) - storage & structuring
- Azure SQL/Synapse Analytics - data warehousing & querying
- Strong SQL skills (complex transformations, optimisation)
- Experience building and maintaining ETL/ELT pipelines
- Solid understanding of data modelling principles (star schema, dimensional modelling)
- Experience handling schema changes and upstream system impacts
- Familiarity with CI/CD for data pipelines (eg, Azure DevOps)
- Good stakeholder communication skills
Nice to Have
- Experience with PySpark/Databricks
- Exposure to Power BI or downstream reporting tools
- Experience in regulated environments (eg, healthcare, insurance, financial services)
- Understanding of data governance and data quality frameworks