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🚀 Senior Data Engineer | London (Camden) | Hybrid (4 days in office)
We're partnering with a fast-growing AI technology business that's transforming how businesses make operational decisions through data and machine learning.
They're looking for a Senior Data Engineer to take ownership of a modern, AWS-native data platform, building scalable pipelines and production-grade ML infrastructure that powers real-time analytics and intelligent decision-making. Within 3/6 months, you will take full ownership of the platform.
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.
Start with a chat, not a search bar
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.
You'll be responsible for:
- Designing and maintaining ETL/ELT pipelines
- Deploying and supporting production ML systems
- Optimising SQL and data models for analytics
- Improving platform reliability across AWS (S3, Redshift, RDS, Athena, SageMaker, Lambda)
- Collaborating with Data Scientists, Engineers and Product teams
- Mentoring junior engineers and driving engineering best practices
We're looking for:
- Strong Python and SQL skills
- Experience building data pipelines and production ML systems
- AWS/cloud platform expertise
- A proactive engineer who enjoys ownership and solving complex problems


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What's on offer?
- 💰 Competitive salary
- 📈 Equity
- 🏥 Private healthcare
- 🏋️ Gym membership
- 🐶 Dog-friendly office
- 🍽️ Regular team meals and a collaborative, high-performing culture
If you're looking to make a real impact in a fast-moving AI business, I'd love to hear from you. Send me a message or apply today.
“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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