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Harnham

Data Engineer

London
£70k – £90k/yr
Posted about 15 hours ago
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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.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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.

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Strong

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.

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Strong

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.

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Location

London, England, United Kingdom

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