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Consortia

Greater London / Global

Data Engineer

Job Summary

Benefits:
Healthcare Stock Options
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Job Description

London, Notting Hill | 5 days onsite | £70,000 to £90,000 + equity

We're hiring a Data Engineer to join a well funded early stage startup building complex data products for some of the world's largest Healthtech companies.

You'll join a small engineering team and take significant ownership over the data platform, working directly with the Head of Engineering and founders.

What you'll be doing

Building and owning production ETL/ELT pipelines in Python and SQL

Working with LLMs and AI inside production data pipelines

Building large scale data acquisition and scraping systems

Solving complex normalisation, deduplication and entity resolution problems

Working with Azure, MongoDB, Python and SQL

Helping shape the architecture as the platform scales

Healthcare data experience is useful, but isn't required.

Genuine early stage experience is essential

We're specifically looking for someone who has already operated inside a very early stage startup, ideally as one of the first 15 employees, a founding or early engineer, first data hire or technical founder.

We're much more interested in someone with a a couple of years' experience who has genuinely built, shipped and owned technology end to end at a ten person startup than someone with significantly more experience inside a large engineering organisation.

The environment

This opportunity won't be for everyone.

The team is small, expectations are high and the pace is intense. This isn't a conventional 9 to 5 engineering role, and there will be periods of long hours as the team pushes to build and deliver quickly.

In return, you'll have significant autonomy, very little micromanagement and genuine influence over both the product and architecture.

This is 5 days onsite in Notting Hill, with common sense flexibility when needed. We're looking for someone who actively wants to work alongside a small founding stage team rather than someone seeking a regular hybrid setup.

If you're excited by 0 to 1 engineering, AI native development, moving quickly and having genuine ownership over what you build, this could be an exceptional opportunity

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