Oliver James
Senior Data Engineer

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Senior Data Engineer - Databricks | Hybrid London | £550/day Outside IR35 | 12 Months
A well-established transport/travel sector business is expanding its Data & Middleware function as part of a major analytics transformation, and is looking for a Senior Data Engineer to help build out its data platform and data products.
You'll join a growing team modernising a legacy estate onto a modern Event Sourcing Architecture, producing high-quality data for analytics via a flexible, platform-engineering-led approach. This is a genuine build role - shaping the technical direction of the platform, not just maintaining what's there.
The role:
- Design, build and operate high-quality data pipelines end-to-end
- Lead on data modelling, working closely with business analysts and engineers to structure data for clarity, integrity and efficiency
- Be involved across the full project lifecycle - planning through to delivery and run
- Maintain a strong security and data-protection focus throughout
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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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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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 need:
- 5+ years' progressive data engineering experience
- Strong Databricks and Spark expertise - platform internals, performance, DAB, Delta Lake, declarative pipelines
- Advanced Python, with solid software/DevOps practice (version control, unit testing, pipelines-as-code, CI/CD)
- Excellent data modelling skills, comfortable with tradeoffs across technical and organisational lines (Conway's Law)
- Advanced SQL, with experience querying data lakes/lakehouses
- Experience ingesting data via APIs, database connections or other methods
- Strong Agile delivery experience in a self-organising team
- Clear, persuasive communication with both technical and non-technical stakeholders


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Nice to have: platform engineering exposure, event sourcing/data modelling experience, ML/AI operationalisation on data platforms, PostgreSQL, dbt.
Details:
- Hybrid, 2-3 days/week in London.
- 12-month contract, £550/day outside IR35.
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