Azure Data Engineer - Modern Data Platform | £50,000-£60,000 + Benefits
Location: Hybrid - 2-3 days per month on-site (Midlands)
Type: Permanent
Level: Mid-to-Senior Data Engineer
Are you an Azure-focused Data Engineer looking to help shape a modern cloud data platform?
We're hiring an engineer who's passionate about building scalable pipelines, working with the latest Microsoft technologies, and translating complex data into reliable, analytics-ready assets for the business.
This is a fantastic opportunity to join a growing data function that is investing heavily in Azure, Fabric and modern DataOps practices. You'll work across the full lifecycle-from ingestion and transformation through to data products that power reporting, insight, and decision-making.
Key Responsibilities
Design, build and maintain cloud-native data pipelines using Azure Data Factory and Fabric Data Factory.
Develop robust ELT/ETL workflows across data lakes, warehouses and lakehouse architectures.
Optimise and maintain Azure SQL, implementing efficient transformation logic and complex T-SQL queries.
Support the build of semantic models and high-quality datasets for analytics and BI teams.
Implement best practices in data governance, data quality, security, and GDPR/ISO27001-aligned standards.
Monitor, troubleshoot and continuously improve data pipelines using DataOps, CI/CD and version control.
Work with architects, analysts and engineers to modernise and simplify the organisation's data estate.
Contribute to documentation, metadata catalogues, lineage tracking and data dictionaries.
About You
You'll thrive in this role if you bring:
Strong hands-on experience with Azure Data Factory, Azure SQL, and cloud-based data engineering.
Experience with Databricks, Synapse, Fabric or similar modern data platform tooling.
Solid T-SQL skills and experience transforming complex datasets into usable, scalable structures.
Knowledge of data lakes, lakehouses, ELT patterns, dimensional modelling or Data Vault.
Understanding of data governance, privacy, and secure engineering principles.
Experience with Git, CI/CD pipelines, or DataOps practices.
Strong communication skills and the ability to collaborate across technical and non-technical teams.
Desired Background
2-5+ years' experience in data engineering or data platform roles
Degree in Computer Science, Data Engineering or related field (or equivalent experience)
Certifications in Azure Data Engineering or cloud technologies (nice to have)
Why Join?
Work with a modern Azure tech stack and cutting-edge Fabric capabilities
Shape and modernise a growing data platform
Collaborative team culture with real influence on engineering direction
Strong progression opportunities and investment in your development