At a Glance
- Tasks: Build and run data quality systems for a fast-scaling challenger bank.
- Company: Join a dynamic UK-licensed challenger bank with a focus on innovation.
- Benefits: Competitive salary, outstanding benefits, and flexible working arrangements.
- Other info: Work in a collaborative team with excellent career growth opportunities.
- Why this job: Make a real impact by ensuring data integrity in a regulated environment.
- Qualifications: Strong skills in Python and SQL, with experience in data governance.
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.
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.
- 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.
- 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.
- Comfortable building custom metrics and working within modern stacks (AWS, Redshift, dbt).
- Understanding of data lineage, ownership and stewardship.
- Knowledge of why a catalogue is critical for a regulated bank.
- Background in a Challenger Bank, Fintech or a similarly highly-regulated sector.
- Understanding 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 Slough employer: Morson Edge
As a Data Quality & Governance Engineer at our fast-scaling UK-licensed challenger bank, you will thrive in a dynamic work culture that prioritises innovation and collaboration. We offer an outstanding benefits package, opportunities for professional growth, and the chance to work closely with senior leaders in the Data & AI function, all while being part of a mission-driven team dedicated to transforming the banking experience. Join us in London, where your expertise will directly contribute to building a robust data governance framework in a supportive and forward-thinking environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Quality & Governance Engineer in Slough
✨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 and even referrals.
✨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 highlight that. It’s a great way to demonstrate your hands-on experience.
✨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 in a regulated environment.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to get noticed and ensures your application lands directly in the right hands. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Data Quality & Governance Engineer in Slough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Quality & Governance Engineer role. Highlight your hands-on experience with Python and SQL, and any relevant work in data governance or within a regulated sector like fintech. We want to see how your skills align with our needs!
Showcase Your Projects:Include specific projects where you've implemented automated checks or worked on data lineage. This is your chance to show us how you’ve turned governance policy into action. Don’t be shy about sharing your successes!
Craft a Compelling Cover Letter:Your cover letter should tell us why you're excited about this role and how your background makes you a great fit. Use it to connect your experience with our mission at StudySmarter and the challenges we face in the banking sector.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at Morson Edge
✨Know Your Tech Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these languages in past projects, especially in relation to data quality and governance. Having specific examples of automated checks or observability tools you've implemented will really impress them.
✨Understand Data Governance
Familiarise yourself with the principles of data governance and why they matter, especially in a regulated environment like a challenger bank. Be prepared to explain how you would turn governance policies into automated patterns and why having a single, governed view of data is crucial.
✨Showcase Your Experience with Tools
If you have experience with Collate, Atlan, OpenMetadata, Collibra, or Alation, make sure to highlight it. Even if you haven't used these specific tools, be ready to discuss similar platforms you've worked with and how they relate to the role.
✨Communicate Clearly
Since you'll be acting as a bridge between technical teams and Data Stewards, strong communication skills are key. Practice explaining complex technical concepts in simple terms. This will show that you can ensure everyone understands critical data elements and metrics being measured.
