Morson Edge
Data Quality & Governance Engineer
How you stack up
Upload your CV to see how well it fits this job role
?%
Data Quality & Governance Engineer
Data Quality & Governance Engineer | Challenger Bank
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.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
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
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Location