> Markdown version of [/jobs/ext/4076335-azure-data-engineer](https://www.wearedevelopers.com/jobs/ext/4076335-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:** Michael Page
- **Location:** Manchester, UK
- **Salary:** £60,000.0 - £65,000.0
- **Contract:** Temporary contract
- **Skills:** Microsoft Azure, Computer Programming, Information Engineering, Data Security, Data Systems, Python (Programming Language), Standard Sql, Azure Data Factory, Data Pipelines, Databricks
- **Published:** October 12, 2026
- **Apply:** https://www.reed.co.uk/jobs/azure-data-engineer/57447620

## About the Role

* Experience with Azure data tools and services, such as Data Factory and Databricks.
 * Strong knowledge of SQL and data modelling concepts.
 * Proficiency in programming languages like Python or Scala.
 * Understanding of data security and governance principles.
 * Ability to work collaboratively with cross-functional teams.
 * A proactive approach to problem-solving and troubleshooting., * "data engineer" "azure"

## Description

As an Azure Data Engineer, you'll play a key role in managing and optimising data pipelines to support analytics projects for the not-for-profit industry. This position involves designing, developing and maintaining robust data solutions to help the organisation make informed decisions and achieve its goals., Duties of the Azure Data Engineer:

 * Develop and maintain scalable Azure-based data pipelines and solutions.
 * Collaborate with analytics teams to gather requirements and ensure data accuracy.
 * Optimise data systems to improve performance and reliability.
 * Monitor and troubleshoot data workflows to resolve issues promptly.
 * Implement and manage data security and compliance measures.
 * Support the integration of new data sources into existing systems.
 * Provide technical documentation and guidance for data processes.
 * Ensure best practices are followed in data engineering and analytics.