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# Data Engineer- MOD Environment

- **Company:** CBS Butler Limited
- **Location:** Sheffield, UK (Remote available)
- **Salary:** £143,000.0 - £156,000.0
- **Contract:** Temporary to permanent
- **Skills:** Microsoft Azure, Configuration Management Databases, Data Governance, Data Systems, Database Queries, Python (Programming Language), Power BI, Enterprise Data Management, Azure Data Factory, Pyspark, Performance Monitor, Data Pipelines, Databricks
- **Published:** October 16, 2026
- **Apply:** https://www.hiredonline.co.uk/jobs/225731573-data-engineer-mod-environment/cbsbutler-holdings-limited-trading-as-cbsbutler

## About the Role

* Active, transferable DV Security Clearance.
 * Proven experience as a Data Engineer in an enterprise or government environment.
 * Experience with Azure data services, such as Azure Data Factory, Databricks or Synapse.
 * Strong SQL skills and experience developing data pipelines.
 * Experience with Python or PySpark.
 * Understanding of enterprise data integration, operational reporting and data governance.
 * Experience working with service management or enterprise service delivery environments.

Desirable: MOD/Defence experience, ITIL, ITSM platforms, CMDB data and Power BI., Process Operations Manager Prodrive Recruitment Consultants Ltd are seeking a highly motivated and detail-oriented Process Operations Manager for our well-established clients based in Worcestershire t…

## Description

We are seeking a DV Cleared Data Engineer to support a long-term defence programme.

You will develop and maintain data solutions within Azure, supporting enterprise service integration, operational reporting, service performance monitoring and data-driven decision-making. Working alongside service architects, service management teams and technical stakeholders, you will help ensure data is accurate, secure and aligned with enterprise service delivery requirements.

Key Responsibilities

 * Develop and maintain data pipelines and integration solutions within Azure.
 * Integrate and transform data from multiple enterprise systems.
 * Support operational reporting, service performance metrics, KPIs and SLA reporting.
 * Improve data quality, consistency, governance and accessibility.
 * Work with service management teams to support reporting and service improvement.
 * Collaborate with architects and stakeholders to deliver data solutions aligned with ESM requirements.