> Markdown version of [/jobs/ext/3765427-data-engineer-mod-environment](https://www.wearedevelopers.com/jobs/ext/3765427-data-engineer-mod-environment). 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). --- # Data Engineer - MOD Environment - **Company:** CBS Butler Limited - **Location:** Great Malvern, UK - **Salary:** £143,000.0 - £156,000.0 - **Contract:** Temporary contract - **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.careerboard.com/gb/en/find-jobs-in-United-Kingdom/-9F9B973367E88CD41A/ ## 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. ## 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., * 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.