Data Quality & Governance Engineer
Location: London (Hybrid 2 Days Onsite)
Salary: Up to £80,000
This is a high impact role for someone who enjoys building trust in data through strong technical delivery and pragmatic governance. The business sees data quality and governance as critical to its growth, meaning you will have real ownership, visibility, and influence from day one. With a strong technical focus and the chance to shape how governance is embedded across the organisation, this role offers both challenge and long term progression.
The Company
They are a fast growing, regulated financial services organisation with a strong technology led culture. Operating across commercial banking, embedded finance, and SME services, they support a wide range of digital businesses while continuing to expand their own product offering. With significant recent growth and continued investment in Data and AI, they are building robust foundations to support scale and regulatory requirements. Their London office is a central hub for data, technology, and innovation.
The Role
This role focuses on establishing and maintaining strong data quality and governance practices across key datasets to ensure trust and reliability for finance and business teams. It involves designing and implementing data quality frameworks, including metrics, validation checks, and monitoring using tools like SQL and dbt, while proactively identifying and resolving data issues at their source in collaboration with engineering teams.
The position also requires building and managing a data governance platform, covering data dictionaries, lineage, and ownership, alongside defining clear data standards and ensuring visibility for stakeholders. Working closely with data stewards and senior stakeholders, the role translates business requirements into measurable quality rules, balancing hands-on technical work with strategic governance design and effective stakeholder engagement.
Your Skills & Experience
- Strong hands on experience with SQL and dbt, with a passion for data quality and metrics.
- Proven experience designing or implementing data quality checks, monitoring, and validation frameworks.
- Solid understanding of data governance concepts such as data lineage, ownership, stewardship, and data catalogues.
- Background as a Data Quality Analyst, Analytics Engineer, or Data Engineer with governance exposure.
- Experience working with governance or catalogue tools such as Collibra, Atlan, Purview, or similar.
- Confident communicator who can work with technical teams and business stakeholders to agree and define quality standards.
What They Offer
- The opportunity to shape data quality and governance practices across a growing organisation.
- Clear scope for progression as the data function continues to scale.
- A collaborative, inclusive culture with strong investment in Data and AI.
How to Apply
If you are excited by building technically robust data quality solutions while shaping governance best practice, apply now to find out more.
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