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Burns Sheehan

Data Engineer

London
£60k – £80k/yr
Posted about 15 hours ago
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Data Engineer | AI-Driven HealthTech | London | Up to £70k + Equity

I’m working with a fast-growing, early-stage HealthTech business that is building a data intelligence platform for the pharmaceutical and life sciences industry. They’re now hiring a Data Engineer to join a small, high-calibre engineering team and take real ownership of the data pipelines that sit behind the product.

This isn’t a role maintaining an established warehouse or working through a backlog of tickets. You’ll be working with large volumes of messy, complex healthcare data, building and refactoring production pipelines, and using AI within those workflows to extract, classify, clean and validate information.

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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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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It searches the market for you

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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.

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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.

What they’re looking for:

  • Strong Python and SQL
  • Experience building ETL/ELT pipelines in production
  • Comfortable working with structured and unstructured data
  • Experience with LLM APIs / AI-powered data workflows would be highly relevant
  • Exposure to scraping, data acquisition, schema design, deduplication or entity resolution
  • Healthcare, pharma or life sciences data experience is a big advantage
  • Someone autonomous, curious and comfortable figuring things out in an early-stage environment

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They’re much more interested in what you’ve owned and built than a specific number of years’ experience.

  • 📍 London, 4 days a week in the office
  • 💰 Up to £70k base, with flexibility for an exceptional profile
  • 📈 Equity available
  • 🛂 Sponsorship can be considered
  • ⏱️ Short notice strongly preferred

A really good opportunity for a Data Engineer who wants more ownership, direct product impact and exposure to applied AI rather than being one engineer in a huge data function.

Drop me a message if you’d like to hear more.

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Skills

Python
SQL
ETL/ELT Pipelines
LLM APIs
AI-powered Data Workflows
Web Scraping
Data Acquisition
Schema Design
Deduplication
Entity Resolution
Structured Data
Unstructured Data

Location

London, England, United Kingdom

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