Burns Sheehan
Data Engineer

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Quant Data Engineer | London (Hybrid) | Up to £90K
We're working with an established technology company in the sports/gaming sector, building predictive models powered by a wide and growing range of data inputs. It's intricate, technically demanding work.
They're looking for a Quant Data Engineer to join a small team working directly alongside quantitative modellers, ensuring they have reliable, well-structured, high-quality data for research and modelling. Strong focus on data quality, investigation and continuous improvement, turning complex, messy datasets into assets the business can depend on.
What you'll be doing
Modelling Data Support
- Prepare and maintain research/modelling datasets, and investigate issues affecting model outputs
- Improve data structure, usability and quality across analytical workflows
- Assess new and existing data sources for viability and integration
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.
Data Engineering
- Build and maintain Python-based data pipelines (ingestion, transformation, validation)
- Maintain historical data assets and support migrations/backfills
- Collaborate with engineers on upstream/downstream data flow improvements
Data Quality & Investigation
- Own validation, reconciliation and monitoring across key datasets
- Document data logic, transformations and assumptions; improve metadata and standardisation
- Resolve anomalies and gaps with engineering and operations
What you'll need
- Strong experience as a Data Engineer, Research Data Engineer, or similar, working with complex datasets
- Strong Python for data processing, investigation and workflow development
- Excellent SQL and relational database experience, PostgreSQL preferred
- Track record preparing, transforming and validating datasets for analytical/research use
- Strong experience tracing data issues through pipelines and source systems
- Comfortable working with messy, incomplete or evolving datasets
- Nice to have: ClickHouse, BigQuery, Snowflake, Redshift or similar


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Benefits
- Based in London, working a hybrid model (office time required a couple of days a week).
- Benefits include private health & dental insurance, cycle to work scheme, enhanced parental and sick pay, and above-standard holiday allowance.
“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
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