Saragossa
Data Engineer - Private Equity Firm - Up to £50,000

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Job Title
You get to build from the ground up, with real ownership, at a global firm that puts technology at the centre of everything it does.
About the Role
This is a greenfield role. You are shaping data platforms, analytical tooling, and applied AI solutions from the start, with the agency to make meaningful decisions about how things get built.
The work sits across data engineering and applied AI, so if you find both areas interesting, this keeps you sharp across both rather than pushing you into a narrow specialism too early in your career. You will be working closely with a collaborative team alongside the Lead Data and AI Engineer.
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.
Responsibilities
- Building and maintaining production data pipelines
- Exposure to cloud platforms such as Azure or Databricks
- Comfortable with Git, APIs, automated testing, and CI/CD
Requirements
- Strong practical Python and SQL skills
Benefits
- Performance-related bonus
- 25 days holiday
- Pension matched up to 10%
- Private medical cover
- Gym membership
- Life insurance
- Cycle to work scheme


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About the Process
As part of the process, you’ll meet with the CTO, investment partners, and the data engineering lead, so prior financial experience is useful to hit the ground running.
Work Arrangement
The role is hybrid and based in London.
Ready to Own Something from Day One?
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