Venturi
Data Engineer

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Data Engineer | Large Retailer | £68,000 | Manchester (Hybrid)
We're hiring a hands-on Data Engineer to join a high-profile data modernisation programme at one of the UK's most recognisable retail brands. This is a genuinely exciting opportunity to help build a modern data platform from the ground up, working with best-in-class tooling at pace and scale.
The Programme
You'll be joining a data modernisation initiative - Replatforming a legacy data and reporting estate onto a modern cloud stack (Snowflake, dbt, Fivetran, Azure), retiring legacy MSSQL warehouses, and delivering across multiple international markets. Fast-paced, high-visibility, and high-impact.
The Role
Working as part of a collaborative engineering team and reporting to a Senior Data Engineer, you'll be hands-on in the day-to-day build of pipelines and data products that power analytics and reporting 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:
- Building and maintaining pipelines in Snowflake, dbt and Fivetran, ingesting from SaaS source systems including Workday, Oracle Symphony and NetSuite
- Writing clean, well-tested SQL, Python and dbt code
- Building dbt tests and data quality checks
- Contributing to CI/CD pipelines and peer code reviews
- Participating in Agile ceremonies and on-call rota once onboarded
- Documenting pipelines, datasets and design decisions clearly
What We're Looking For
Essential:
- 2+ years' commercial experience as a Data Engineer or Analytics Engineer
- Strong SQL — able to write, debug and optimise non-trivial queries
- Hands-on experience with a modern cloud data warehouse (Snowflake strongly preferred)
- Hands-on dbt experience (Core or Cloud) — not just exposure
- Proficient in Python for data transformation and scripting
- Comfortable with Git and Agile delivery
- Right to work in the UK without sponsorship


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Nice to Have:
- Fivetran or another managed ELT tool
- Azure (Function Apps, Logic Apps, Data Factory)
- MSSQL / T-SQL experience, particularly migrating legacy stored procedures
- CI/CD tooling (GitHub Actions, Azure DevOps)
- Power BI familiarity
- Knowledge of dimensional, semantic or medallion architecture
What's on Offer
- Up to £68,000 base salary
- Hybrid — 3 days per week in Manchester (Piccadilly)
- Private medical insurance
- Sabbatical after 3 years
- Pension & life assurance
- Retail perks and bonus scheme
- Genuine career-shaping experience on a high-profile programme with senior mentorship
“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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