Job Description
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.
THE COMPANY
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.
THE ROLE
- 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.
YOUR SKILLS AND EXPERIENCE:
- 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
SALARY AND BENEFITS
- £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 to Harry Lack through the 'Apply' link.
Contact Details:
Harnham - Data & Analytics Recruitment Recruitment Team
