Data Quality & Governance Engineer

DATA QUALITY & GOVERNANCE ENGINEER
£80,000
LONDON

This is a key hire into a growing data and AI function within a regulated financial services environment. The role offers a strong mix of hands-on technical work and data governance ownership, with the chance to shape how data quality and trust is embedded across the business.

Our client is a fast-growing financial services organisation providing core banking and technology services to a broad range of businesses, including fintechs and SMEs. They operate in a highly regulated environment and are investing heavily in their data platform as part of continued growth. This role has been created due to increasing demand for trusted, high-quality data across the organisation.

• Take ownership of data quality and governance across key business domains
• Build and maintain data quality metrics using SQL and dbt, ensuring accuracy and reliability
• Implement and manage the organisation's data governance tooling, including metadata, lineage and documentation
• Work closely with stakeholders to define data standards, metrics and data definitions
• Support finance and analytics teams by improving visibility into data quality and source reliability
• This role is heavily hands-on (circa 75% technical), while also offering real ownership over governance practices and tooling.

• Experience in data quality, analytics engineering or data engineering roles
• Strong SQL skills and hands-on experience with dbt
• Understanding of data governance concepts such as data lineage, data dictionaries and quality frameworks
• Experience working with data quality metrics and validation processes
• Comfortable working with stakeholders and translating business requirements into technical metrics
• Experience with governance or metadata tools is advantageous

• £70,000 - £80,000 base salary
• Bonus scheme
• Pension contribution
• Hybrid working model (2 days per week in London)

HOW TO APPLY

Please register your interest by sending your CV toHarry Lack through the 'Apply' link.