Data Engineer in London

Hybrid in London·Added 1 month ago (last checked 23 Oct)

Agency

Harnham

211 open roles

Apply

Our summary

Salary: £70,000 - £90,000 a year
About £4,260 - £5,230 a month after tax.
Work mode: Hybrid, London
Contract: Permanent

Skills

Harnham is hiring for this role in several places. This vacancy is in London.

Requirements

What we're looking for

Strong Python and SQL skills
Experience building production-grade data pipelines
Proven ownership of end-to-end engineering projects
Experience building products, platforms or major capabilities from 0-1
Ability to operate independently in a fast-moving environment
Strong problem-solving skills and technical foundations

Nice to have

Startup or scale-up experience
Experience working directly with founders or product teams
LLMs, AI tooling or prompt engineering exposure
Data acquisition, scraping or ingestion experience
Snowflake, Databricks or modern cloud data platforms
Experience turning technical outputs into customer-facing products
£70,000-£90,000 base salary
Opportunity to join a high-growth, YC-backed startup
Significant ownership and autonomy
Chance to help shape the future of a data-first AI product
4-5 days per week in the London office

Pay & benefits

What you'll get

£70,000-£90,000 + Equity + Benefits

The role

We're working with a rapidly growing, YC-backed healthcare AI startup building a market-leading data platform used by pharmaceutical, biotech and healthcare organisations.

What you'll do

This is not a role where you'll maintain legacy pipelines or work on a small corner of an established platform. The team is specifically looking for engineers who have experience taking products, platforms or major features from 0-1.

The successful candidate will help build and scale the core data infrastructure powering the company's platform, taking ownership of projects from raw data acquisition all the way through to production-ready products.

Building scalable ETL/ELT pipelines using Python and SQL
Designing and developing data ingestion frameworks
Working with large, complex and often messy datasets
Leveraging AI and LLM technologies for extraction, classification and enrichment
Building data products that directly support customers
Designing schemas, entity resolution and data quality processes
Collaborating closely with engineering, product and leadership teams
Taking projects from concept through to production deployment

You should be able to demonstrate that you've

Built something from scratch rather than simply maintained existing systems
Worked through ambiguity with limited requirements
Designed architecture and made key technical decisions
Owned delivery from idea through to production
Worked closely with product teams, users or founders to shape solutions
Shipped products that generated real business value

The Person

We're looking for someone who enjoys building rather than maintaining.

You'll thrive here if you get energy from starting with a problem, designing a solution and seeing it through to production. The ideal candidate will have a track record of operating in environments where ownership is high, processes are light, and shipping quickly matters. Years of experience are less important than evidence of what you've actually built.