At a Glance
- Tasks: Build and run data quality systems for a fast-growing challenger bank.
- Company: Join a dynamic UK-licensed challenger bank focused on innovation.
- Benefits: Competitive salary up to £75,000 and an outstanding benefits package.
- Other info: Exciting opportunity for career growth in a rapidly evolving fintech sector.
- Why this job: Make a real impact by ensuring data integrity in a regulated environment.
- Qualifications: Strong skills in Python, SQL, and experience with data governance tools.
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: 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 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 and ample opportunities for professional growth, ensuring that you are well-supported in your career journey while contributing to a mission-driven organisation that values data integrity and governance.
StudySmarter Expert Advice🤫
We think this is how you could land Data Quality & Governance Engineer
✨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 our hiring team. Plus, we love seeing candidates who are proactive about their applications.
We think you need these skills to ace Data Quality & Governance Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Data Quality & Governance Engineer. Highlight your experience with SQL, Python, and any relevant platforms like Collate or Alation. 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!
Showcase Your Projects:If you've worked on projects that involved data lineage or automated checks, don’t hold back! Share specific examples in your application that demonstrate your hands-on experience and problem-solving skills. 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 get all the updates directly from us. Plus, it shows you're keen on joining our team!
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 exercises that involve data quality checks and lineage tracking.
✨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, be sure to highlight this during the interview. Prepare specific examples of how you've used these tools to improve data quality or governance in past roles.
✨Prepare Questions for Them
Think of insightful questions to ask about their data platform and governance strategies. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
