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Lead Data Engineer

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Lead Data Engineer
Build the foundations of an AI business from day one.
If you'd rather build a platform from scratch than inherit legacy systems, this is an opportunity to shape both the technology and the future of the business.
You'll be joining an early-stage AI company with a proven product, becoming its first senior data engineering hire and taking ownership of the data platform that powers AI at scale.
What's in it for you?
- Competitive salary plus meaningful equity
- Own the data architecture from day one
- Work closely with experienced founders
- Build modern infrastructure for AI products
- Influence technical decisions and future growth
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.
The role
You'll design and build the data platform behind an AI-driven product, creating scalable pipelines, real-time processing and reliable infrastructure that supports future growth.
What you'll be doing
- Build scalable data pipelines and infrastructure
- Develop batch and real-time data processing
- Optimise data storage and vector search
- Improve reliability, security and data quality
- Partner with engineers to support AI development
- Help shape the long-term technical architecture


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What you'll bring
- Experience building scalable data platforms or backend systems
- Strong Python and data engineering skills
- Knowledge of distributed data architectures and cloud technologies
- Experience with relational and NoSQL databases
- A practical approach to solving complex problems
- Enjoy taking ownership and building from the ground up
If you're looking for a role where you can make a lasting technical impact from day one, we'd love to tell you more.
“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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