Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build and run data quality and governance capabilities for a fast-scaling challenger bank.
- Company: Join a dynamic UK-licensed challenger bank focused on innovation.
- Benefits: Competitive salary, outstanding benefits, and flexible in-office work.
- Other info: Collaborate with senior leaders and enjoy excellent career growth opportunities.
- Why this job: Make a real impact by ensuring data integrity and governance in a regulated environment.
- Qualifications: Strong skills in Python and SQL; experience in fintech or regulated sectors preferred.
The predicted salary is between 75000 - 75000 £ per year.
We are looking for a hands-on Data Quality & Governance Engineer to build and run the technical spine that underpins the Data & AI function for a fast-scaling, UK-licensed challenger bank. This role sits at the intersection of engineering and risk. You will be responsible for building quality, metadata and lineage capabilities directly into the data platform to ensure a single, governed view of all critical assets. You will be working closely with the Head of Data & AI and senior engineering leads. Your mission is to turn governance policy into automated patterns. Ideally looking for Collate experience for governance; however, experience with similar platforms (Atlan, OpenMetadata, Collibra, or Alation) is highly valued.
What you will do:
- Use SQL and Python to implement automated checks, alerts and observability for critical datasets and AI features.
- Own the technical side of the enterprise data catalogue and glossary. You will ensure that end-to-end lineage—from source to warehouse to AI model—is accurate and functional.
- Act as the bridge between technical teams and Data Stewards. You'll define Critical Data Elements (CDEs) and ensure everyone understands why specific metrics are being measured.
- Fix data issues at the source, embed controls (schema validation, PII, data contracts) into pipelines, and help evaluate/introduce new observability tooling.
What we are looking for:
- Strong hands-on Python and SQL. You should be comfortable building custom metrics and working within modern stacks (AWS, Redshift, dbt).
- You understand data lineage, ownership and stewardship. You don’t just know how to use a catalogue; you know why it’s critical for a regulated bank.
- Background in a Challenger Bank, Fintech or a similarly highly-regulated sector. You understand the pressure of getting calculations up to spec for audit and assurance.
Further information:
London (2/3 days per week in-office). Up to £75,000 (with potential wiggle room for an advanced technical candidate). Outstanding benefits package on offer and will be disclosed during qualification call.
Data Quality & Governance Engineer in London employer: Morson Edge
Contact Detail:
Morson Edge Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Quality & Governance Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in challenger banks or fintech. A casual chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL and Python projects. This is your chance to demonstrate how you’ve tackled data quality issues and built automated checks. It’s all about making your experience tangible.
✨Tip Number 3
Prepare for interviews by brushing up on data governance concepts. Be ready to discuss how you would implement controls and ensure data lineage. We want to see your thought process and how you’d tackle real-world challenges.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to get noticed. Plus, we love seeing candidates who are proactive about their applications. Let’s get you in the door!
We think you need these skills to ace Data Quality & Governance Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Quality & Governance Engineer. Highlight your hands-on experience with SQL and Python, and don’t forget to mention any relevant tools like Collate or similar platforms. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data governance and how your background in fintech or regulated sectors makes you a perfect fit for us. Keep it engaging and personal – we love to see your personality come through!
Showcase Your Projects: If you've worked on projects that involved data lineage or automated checks, make sure to include them in your application. We want to see real examples of how you've tackled challenges in the past. This will help us understand your problem-solving skills and technical expertise.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company culture and values!
How to prepare for a job interview at Morson Edge
✨Know Your Tech Inside Out
Make sure you’re well-versed in SQL and Python, as these are crucial for the role. Brush up on your skills by working on sample projects or coding challenges that involve data quality checks and automation.
✨Understand Data Governance
Familiarise yourself with data governance principles and why they matter, especially in a regulated environment like a challenger bank. Be ready to discuss how you’ve implemented governance policies in past roles or how you would approach it in this position.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled data issues at the source and embedded controls into pipelines. Highlight your experience with observability tooling and how it can enhance data quality.
✨Communicate Effectively
Since you'll be acting as a bridge between technical teams and Data Stewards, practice explaining complex concepts in simple terms. Be prepared to discuss how you ensure everyone understands critical metrics and their importance.