> Markdown version of [/jobs/ext/3882842-azure-data-engineer-sc-cleared](https://www.wearedevelopers.com/jobs/ext/3882842-azure-data-engineer-sc-cleared). 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 - SC Cleared

- **Company:** Shareforce Ltd
- **Location:** UK (Remote available)
- **Salary:** £130,000.0 - £143,000.0
- **Contract:** Permanent contract
- **Skills:** Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Data Transformation, Distributed Computing Environment, Performance Tuning, Enterprise Data Management, Data Processing, Azure Data Factory, Sql Optimization, Git, Microsoft Fabric, Pyspark, Software Version Control, Databricks
- **Published:** October 23, 2026
- **Apply:** https://www.shareforce.co.uk/jobs/apply/ats-redirect/?id=1396-1

## About the Role

* Strong experience with Python for data engineering
 * Hands-on expertise in PySpark and distributed data processing
 * Advanced SQL skills for data transformation and optimisation
 * Experience developing in notebook environments (e.g., Fabric, Databricks, or similar)
 * Practical experience with Microsoft Fabric or Azure data services
 * Solid understanding of medallion architecture and layered data design
 * Experience building and maintaining ETL/ELT pipelines
 * Familiarity with version control (e.g., Git) and collaborative development workflows

Desirable Skills

 * Experience working in large-scale enterprise or government environments
 * Knowledge of data governance, security, and compliance practices
 * Familiarity with CI/CD pipelines for data engineering
 * Experience with data modelling and performance tuning

## Description

We are seeking a skilled Azure Data Engineer to join a public sector project focused on delivering a scalable, reusable, and collaborative data platform with the aim to eliminate repetition and maximise reuse across the enterprise., * Design, build, and maintain scalable data pipelines on Microsoft Azure

 * Develop reusable data products and frameworks to reduce duplication across teams
 * Implement and maintain medallion architecture (Bronze, Silver, Gold layers) for structured data processing
 * Work with cross-functional teams to promote shared standards, patterns, and engineering best practices
 * Contribute to open and transparent development practices, including code sharing and documentation
 * Develop and optimise data workflows using notebooks and distributed processing frameworks
 * Ensure data quality, reliability, and performance across the platform
 * Support the evolution of a modern enterprise data platform, reducing siloed solutions