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Data Engineer - London - Contract
We're working with a leading research focused technology firm looking for an experienced Data Engineer to help build and evolve a new knowledge graph platform that will underpin the company's AI capabilities.
This is a hands on engineering role focused on building the tooling, data pipelines and APIs that transform semantic models into production knowledge graphs. You'll be working across.NET, React, PostgreSQL, graph databases and AI tooling to deliver a platform that provides richer, more connected data across the organisation.
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.
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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.
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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'll be doing:
- Building and evolving a knowledge graph platform from an existing management tool
- Developing data pipelines that populate and maintain graph databases
- Building APIs and interfaces that expose graph data to AI tooling
- Working with.NET, C#, React, TypeScript and PostgreSQL
- Owning CI/CD, DevOps and deployment across the platform
- Working closely with architects and engineers to deliver production ready solutions


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This is an opportunity to work on a greenfield initiative at the centre of the company's AI strategy, helping build the data platform that will power the next generation of engineering and AI capabilities.
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