Azure Data Engineer – Modern Cloud Data Platform
Salary: £50,000–£60,000 + benefits
Location: Rugby - Hybrid 2-3 times per month
Type: Permanent
We’re looking for an Azure & Fabric Data Engineer to help build and optimise a modern cloud data platform.
This role is ideal for someone who enjoys designing scalable pipelines, shaping clean and governed data flows, and working across Azure Data Factory, Microsoft Fabric, and Azure SQL environments.
You’ll join a collaborative engineering community that is modernising its data capabilities introducing Fabric features, strengthening governance, and embedding DataOps practices across the team.
Key Responsibilities
* Design, build and maintain end-to-end pipelines using Azure Data Factory and Fabric Data Factory.
* Develop ELT/ETL workflows across Azure Data Lake, Fabric Lakehouse, and Azure SQL environments.
* Use strong T-SQL skills to build and optimise transformations and data models for downstream analytics.
* Support the creation of Fabric semantic models, dataflows, and well-structured datasets used by reporting and BI teams.
* Implement and refine data governance, data quality checks, lineage documentation, and metadata standards.
* Work closely with architects, analysts, and business users to translate requirements into scalable data solutions.
* Contribute to DataOps, including CI/CD pipelines, Git version control, monitoring, and continuous improvement.
* Troubleshoot and enhance pipeline performance across both Azure and Fabric components.
About You
You’ll excel in this role if you have:
* Strong hands-on experience with Azure Data Factory (ADF).
* Exposure to or experience with Microsoft Fabric (Data Factory, Lakehouse, Dataflows, or Warehouses).
* Solid SQL/T-SQL skills and confidence in Azure SQL or SQL Server environments.
* Experience building, orchestrating, and optimising cloud data pipelines.
* Understanding of data governance, data quality frameworks, and structured data management.
* Awareness of BI needs and how to design Fabric-ready semantic data layers (no need to build reports).
* Strong communication skills with the ability to engage technical and non-technical stakeholders.
* Initiative and ownership and comfortable leading components of a project without being a line manager.
* Eligibility for SC clearance.
Desired Experience
* Experience with Azure Data Lake, Fabric Lakehouse or similar architectures.
* Background in data engineering, cloud engineering or data platform roles.
* Knowledge of ELT/ETL patterns, data modelling, and modern Azure/Fabric data practices.
* Familiarity with Git, Azure DevOps, CI/CD, and monitoring pipelines.
Why Apply?
* Work with the latest Microsoft data platform technologies including Fabric.
* Shape and modernise a growing Azure/Fabric data ecosystem.
* Join a supportive team embracing governance, automation, and continuous improvement.
* Real opportunity to influence engineering best practice and contribute to long-term platform evolution.