> Markdown version of [/jobs/ext/4115030-data-governance-engineer](https://www.wearedevelopers.com/jobs/ext/4115030-data-governance-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). --- # Data Governance Engineer - **Company:** Data Communications Company - **Location:** Manchester, UK - **Contract:** Temporary contract - **Skills:** Training Data, Artificial Intelligence, Amazon Web Services, Cloud Database, Information Engineering, Data Governance, Data Infrastructure, Digital Assets, Machine Learning, Meta-Data Management, Data Lineage, Data Management - **Published:** October 22, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=c61bc088db72e64e ## About the Role We're looking for a hands-on engineer who combines strong technical skills with a passion for data quality and governance. Essential * Proven experience implementing data governance solutions in enterprise environments. * Strong AWS expertise and experience building cloud-based data solutions. * Experience with metadata management, data quality and data lineage tooling. * Solid understanding of data engineering principles and modern data platforms. * Experience developing automated governance processes and controls. * Strong stakeholder management and collaboration skills. * Ability to translate governance requirements into practical technical solutions. Desirable * Experience within a regulated industry such as utilities, energy or financial services. * Exposure to AI and machine-learning data requirements. * Understanding of data products and data mesh principles. * Knowledge of data management frameworks and best practices. ## Description Data Governance Engineer (6 Month FTC), As a Data Governance Engineer, you will: * Design and implement automated data governance solutions within AWS. * Develop and enhance metadata management, data lineage and data quality capabilities. * Build governance controls and frameworks that improve trust, transparency and compliance across data assets. * Support the creation of robust, AI-ready data foundations. * Collaborate with data engineers, analysts, BI teams and business stakeholders to embed governance best practice. * Improve data discoverability, usability and publication readiness across the organisation. * Contribute to a strategic programme focused on modernising data management capabilities.