Summary
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.
Key Responsibilities
- 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
- BI Teams
Skills & Experience
- 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.
Rate:
£60,000/year
Location:
Manchester
IR35 Status:
Not specified
Remote Status:
Hybrid
Industry:
Data & Analytics
Seniority Level:
Mid-Level