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- Tasks: Build and run data quality 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 on data governance in a cutting-edge financial environment.
- Qualifications: Strong Python and SQL skills; experience in 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 Engineer in City of London employer: Morson Edge
Contact Detail:
Morson Edge Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Quality Engineer in City of 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! If you’ve got a portfolio or GitHub with projects showcasing your SQL and Python prowess, make sure to share it. Real-world examples of your work can set you apart from the crowd.
✨Tip Number 3
Prepare for the interview by brushing up on data governance concepts and tools like Collate or Alation. Be ready to discuss how you’d implement automated checks and ensure data quality—this is your chance to shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to get noticed by the hiring team. Plus, we love seeing candidates who take that extra step to connect directly with us.
We think you need these skills to ace Data Quality Engineer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Quality Engineer. Highlight your experience with SQL, Python, and 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 quality and governance in a challenger bank. Share specific examples of how you've tackled similar challenges in the past.
Showcase Your Technical Skills: Don’t just list your technical skills—demonstrate them! If you’ve built automated checks or worked on data lineage, give us the details. We love seeing real-world applications of your expertise.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
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 lineage.
✨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 can turn governance policies into automated processes.
✨Showcase Your Experience
If you have experience with platforms like Collate, Atlan, or Alation, make sure to highlight this during the interview. Prepare specific examples of how you've used these tools to improve data quality or governance.
✨Bridge the Gap
Be prepared to explain how you can act as a liaison between technical teams and Data Stewards. Think of examples where you’ve successfully communicated complex data concepts to non-technical stakeholders.