Oho Group
Lead data Engineer

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Lead Data Engineer / Venture-Backed AI Startup / London
A well-funded, venture-backed AI startup is looking for an exceptional Lead Data Engineer to build the foundations of a world-class data platform from the ground up.
This is a rare opportunity to join at a pivotal stage of the company's journey. Backed by experienced founders and significant investment, you'll become one of the first senior data engineering hires, owning the architecture, tooling, and strategy behind a platform designed to power next-generation AI products. As the company scales, you'll play a defining role in building both the technology and the future data engineering team.
What's in it for you?
- Join a well-funded startup with ambitious growth plans and the opportunity to help build a category-defining AI business
- Meaningful equity with genuine long-term upside as the company scales
- Own the end-to-end data architecture from day one, with complete technical ownership
- Build the infrastructure powering cutting-edge AI, machine learning, and real-time data products
- Work alongside an exceptional team of engineers, AI specialists, and experienced founders
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.
What they're looking for:
- 6+ years' commercial experience in Data Engineering or Backend Engineering
- Strong academic background in Computer Science, Engineering, Mathematics, or another STEM discipline
- Expert Python skills and extensive experience building scalable data platforms
- Strong experience designing distributed data pipelines, real-time processing, and modern data architectures
- Experience with relational and NoSQL databases in production environments
- Engineers who enjoy solving complex technical challenges in fast-moving, high-growth startups


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Nice to have:
- Apache Spark, Kafka, Airflow, or other large-scale data technologies
- PostgreSQL, MongoDB, Elasticsearch/OpenSearch
- Experience with vector databases, retrieval systems, or AI/ML infrastructure
- Experience with GCP, AWS, or Azure
If you're looking for a role where you can own a critical function, build technology from the ground up, and have the opportunity to create significant value through both your impact and equity, this is one of the most exciting Data Engineering opportunities in London.
“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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