Harnham
Data Engineer

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DATA ENGINEER
£90,000
LONDON
This is an exciting opportunity to join a YC-backed Healthcare AI startup at an early stage of growth. You'll take ownership of critical data infrastructure, work directly on AI-powered products, and have the opportunity to make a significant impact on both the platform and the wider business from day one.
THE COMPANY
Our client is a fast-growing Healthcare AI startup building commercial intelligence products for pharmaceutical, biotech and medtech organisations. Their platform helps customers make better commercial decisions using large-scale healthcare datasets, analytics and AI. Following strong early traction, they're looking to expand their engineering team with a high-impact Data Engineer.
THE ROLE
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.
- Build and maintain scalable ETL/ELT pipelines using Python and SQL
- Develop data ingestion and acquisition processes for large, complex datasets
- Leverage LLMs and AI APIs for extraction, classification and data validation
- Design schemas and implement data modelling, deduplication and entity resolution processes
- Work across Data Engineering, AI, product and data acquisition initiatives
- Build APIs and data products that power customer-facing applications
- Take ownership of projects from initial concept through to production deployment
YOUR SKILLS AND EXPERIENCE
- Strong Python and SQL experience
- Proven track record building and maintaining production data pipelines
- Experience taking ownership of end-to-end engineering projects
- Comfortable working autonomously within a fast-paced startup environment
- Strong problem-solving skills and technical foundations
- Experience with LLMs, AI APIs or prompt engineering would be advantageous
- Data scraping, large-scale data acquisition or healthcare data experience would be beneficial
- Experience with Databricks, MongoDB or product engineering is desirable


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SALARY AND BENEFITS
- £70,000 - £90,000 base salary
- Equity package
- Opportunity to join a YC-backed startup at an early stage
- Significant ownership and autonomy
- Work directly on AI-powered products
- Sponsorship available for exceptional candidates
HOW TO APPLY
Please register your interest by sending your CV to Harry Lack through the 'Apply' link.
“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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