Harrington Starr
Market Data Engineer

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Data Engineer | Multi-Strategy Hedge Fund
Location
London
Company
Global Investment Platform
About the Role
Data sits at the heart of how this hedge fund invests, and they're looking for a Data Engineer to help strengthen the infrastructure behind its investment strategies.
You'll work closely with Portfolio Managers, Quants, and Risk teams, building data products that help them research opportunities, test strategies, and make informed investment decisions. The focus is on getting complex financial data right—from vendor feeds and data quality through to integration, scalability, and performance. Your work will directly influence how investment teams access and use data across the business.
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.
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.
The Opportunity
- Work close to the investment process, supporting PMs, quants, and risk teams.
- Own the sourcing, validation, and integration of financial datasets from external vendors.
- Build robust data products that improve the quality and usability of data across investment strategies.
- Improve the reliability and performance of the firm's core data platform.
- Help shape how the platform evolves as the business and its investment needs grow.
What They're Looking For
- 4+ years' experience in financial services, ideally within a hedge fund or a Front Office / Quant environment.
- Strong Python and SQL, with C++ experience beneficial.
- Experience with Snowflake, Redshift, or BigQuery, alongside cloud-based data infrastructure.
- Hands-on experience with data pipelines, orchestration, production monitoring, and automated data quality.
- An understanding of market data, reference data, and how financial datasets are used within investment workflows.


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Why This Role?
This is a chance to move beyond building pipelines in isolation and work on the data infrastructure that underpins investment research and portfolio management.
If you understand the importance of clean, reliable financial data and want to work closer to the people making investment decisions, let's have a conversation. Get in touch for a confidential discussion.
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