Oliver Bernard
Senior Data Engineer | Contract | Outside IR35 | Remote-First

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Senior Data Engineer | Contract | Outside IR35 | Remote-First
Location: Remote-first, with occasional London office visits
Contract type: Outside IR35
Duration: 6-month initial engagement
ASAP start is required
I'm working with a fast-growing, globally recognised sports brand that is looking for a Senior Data Engineer to join its data enablement team. You'd help shape how product master data is modelled, governed and used 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.
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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.
You'll be a hands-on senior contributor and a go-to person for other engineers and analysts. You will:
- Design data models and build robust, well-tested data pipelines
- Automate builds and deployments with CI/CD
- Use SQL to deliver clean, documented, well-defined data
- Guide architectural and design decisions for the teams working on product master data
- Act as the point of contact for business teams, turning their requirements into data products that improve data quality and adoption


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What you'll bring
- Solid experience in data warehousing, data modelling and ELT, with strong SQL
- Strong Python (or Scala or equivalent)
- Experience with modern data tooling. The stack is GCP, BigQuery, Airflow, dbt, Looker and Hex
- Software engineering fundamentals: git, testing, debugging and technical problem solving
- Excellent communication skills and the ability to turn business needs into data solutions
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Jessica, London
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