> Markdown version of [/jobs/ext/3642699-azure-data-engineer](https://www.wearedevelopers.com/jobs/ext/3642699-azure-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Azure Data Engineer - **Company:** DGH Recruitment - **Location:** Manchester, UK - **Contract:** Temporary contract - **Skills:** Microsoft Azure, Software as a Service, Cloud Computing, Computer Programming, Continuous Integration, Data Integration, Data Warehousing, DevOps, Infrastructure as a Service (IaaS), Python (Programming Language), Platform as a Service (PAAS), Windows PowerShell, Power BI, Standard Sql, Microsoft SharePoint, PL-SQL, Data Streaming, Microsoft Power Automate, Azure Data Factory, Containerization, Pyspark, Azure Synapse Analytics, Data Pipelines, Databricks - **Published:** October 9, 2026 - **Apply:** https://www.totaljobs.com/job/azure-data-engineer/dgh-recruitment-job108119337 ## About the Role Proficiency in Azure tools (Data Factory, Databricks, Synapse, etc.). - Strong SQL and experience with data warehousing (Kimball methodology). - Programming skills in Python, Scala, or PySpark. - Familiarity with Power BI, SharePoint, and data integration technologies. - Understanding of DevOps, CI/CD, and cloud concepts (IaaS, PaaS, SaaS). - PowerShell scripting, containerisation, Semarchy MDM, NEC Housing, PL/SQL, and Total Mobile/Repairs solutions. ## Description Join a team building a modern Azure-based data platform. This hands-on engineering role involves designing and developing scalable, automated data pipelines using tools like Data Factory, Databricks, Synapse, and Logic Apps. You'll work across the full data lifecycle - from ingestion to transformation and delivery - enabling smarter, faster insights., Develop and maintain data pipelines using Azure services. - Ingest, transform, and model data from diverse sources. - Optimise data flows for performance and reliability. - Support data quality and monitoring processes. - Collaborate with cross-functional teams in an agile environment. Collaboration With: - Data Engineers, Architects, Product Owners, Test Analysts, and BI Teams.