Harnham
Data Engineer (start up)

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Data Engineer
up to £90,000
London
This is a fantastic opportunity to join a rapidly scaling, venture-backed AI startup, where you'll take ownership of the data infrastructure behind a cutting-edge healthcare intelligence platform. Working alongside the founding team, you'll play a pivotal role in building scalable data products from the ground up.
THE COMPANY:
This high-growth healthcare AI startup is transforming how pharmaceutical, biotech and medical technology organisations make commercial decisions. The platform provides access to millions of healthcare professional profiles, prescribing insights, claims data and market intelligence, helping customers identify key experts, optimise engagement strategies and support successful drug launches.
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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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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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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.
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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 will take ownership of the production data infrastructure powering the company's core platform, working across data engineering, AI, data acquisition and product development. Key responsibilities include:
- Building and maintaining scalable ETL and ELT pipelines using Python and SQL.
- Developing robust data ingestion and acquisition processes across large and complex datasets.
- Leveraging LLMs and AI APIs for data extraction, classification and validation.
- Designing schemas, implementing deduplication processes and managing entity resolution.
- Taking projects from initial concept through to production deployment with full ownership.


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YOUR SKILLS AND EXPERIENCE:
You will bring strong capability in:
- Python development.
- SQL and production data pipeline engineering.
- ETL/ELT development and large-scale data processing.
- End-to-end ownership of engineering projects.
- Working independently in a fast-paced startup environment.
- Strong problem-solving and technical aptitude.
THE BENEFITS:
You will receive a salary of up to £90,000 depending on experience, alongside:
HOW TO APPLY:
Please register your interest by sending your CV to Molly Bird via the apply link on this page.
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