Consortia
Data Engineer
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Data Engineer | Early Stage Startup
Location: London, Notting Hill
Work Schedule: 5 days onsite
Salary: £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
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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 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.
Get help with your application
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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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