Data Governance Engineer

Role overview

What you will do

• Design and implement automated data governance solutions within AWS.
• Develop metadata management, data lineage and data quality capabilities.
• Build controls and frameworks that improve trust, transparency and compliance across data assets.
• Support robust, AI-ready data foundations.
• Work with data engineers, analysts, BI teams and business stakeholders to embed governance best practices.
• Improve data discoverability, usability and publication readiness.
• Contribute to a programme modernising data management capabilities.

Essential requirements

• Proven enterprise experience implementing data governance solutions.
• 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 turn governance requirements into practical technical solutions.

Desirable experience

• Experience in a regulated industry such as utilities, energy or financial services is desirable.
• Exposure to AI and machine-learning data requirements is desirable.
• Understanding of data products and data mesh principles is desirable.
• Knowledge of data management frameworks and best practices is desirable.

Workplace and term

• The role is hybrid in Manchester or London.
• The role is a six-month fixed-term contract, with potential extension depending on programme requirements.

Benefits

• Benefits listed include a performance-related bonus, pension, private healthcare, flexible benefits, annual leave and learning and development opportunities.