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Data Engineer

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Contract: 4 months (PAYE)
Salary: £104,000 p.a. + bonus + paid annual leave & bank holidays
Location: London - hybrid, 3 days onsite per week
We're hiring an experienced Data Engineer to join the data engineering team of a leading global technology company, supporting high-visibility products used at significant scale.
This is a hands-on engineering role focused on building, maintaining, and improving production data pipelines and large-scale datasets. You'll join an established engineering team and work on clearly defined deliverables alongside experienced Data Engineers.
What you'll be doing
- Build, test, and maintain production batch ETL/data pipelines
- Write and optimise SQL across large-scale datasets
- Use Python for data transformation and pipeline orchestration
- Maintain and improve existing pipelines, including backfills and schema changes
- Troubleshoot data-quality and pipeline issues
- Implement data-quality checks, testing, and documentation
- Work with distributed data technologies such as Presto, Spark, or Hive
- Use workflow orchestration tools such as Airflow
- Participate in code reviews and Git-based development workflows
- Collaborate with Data Engineers, Analysts, and Engineering teams
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.
The core work is production data engineering: ETL pipelines, large-scale SQL, pipeline changes, data-quality troubleshooting, and code review.
What we're looking for
- 5+ years' experience building production data pipelines
- Advanced SQL, including performance optimisation on large tables
- Strong Python for data engineering
- Experience with Presto, Spark, Hive, or similar
- Experience with Airflow or another workflow scheduler
- Strong ETL/data pipeline development experience
- Git and code-review experience
- Strong understanding of data quality and accuracy


Get help with your application
Your very own career expert that helps elevate your application to the next level.
Experience with analytical data modelling, BI/dashboard, or pipeline observability would be beneficial.
This is an opportunity to work on high-visibility, business-critical products with significant real-world impact, alongside a highly experienced engineering team.
Please apply directly to be considered. Shortlisting soon.
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