Data Engineer

Harnham; Greater London; On-site; GBP 65,000 - 95,000; Full time

Benefits offered by this job

Ownership and autonomy

Impact on product direction

YC-backed startup

Job summary

Harnham is partnering with a YC-backed healthcare AI startup to scale its core data platform. You will build data ingestion and ETL/ELT pipelines, shape architecture, and own delivery from raw data to production-ready products. Expect a fast-moving environment with close collaboration to product and leadership teams.

The role emphasizes turning data into customer-facing data products, leveraging AI tooling and modern cloud data platforms to drive business value.

Qualifications

• Strong Python and SQL skills with ability to build end-to-end data solutions.
• Proven ownership of engineering projects from concept to production.
• Experience delivering products, platforms, or major capabilities from 0–1.

Responsibilities

• Build scalable ETL/ELT pipelines using Python and SQL.
• Design and develop data ingestion frameworks for scalable platforms.
• Work with large, messy datasets and ensure data quality.
• Apply AI/LLM techniques for extraction, classification, and enrichment.
• Deliver data products that directly support customers.
• Collaborate with engineering, product, and leadership teams.
• Take projects from concept through production deployment.

Skills

Python

SQL

End-to-end ownership

Independent work

Problem solving

Tools

Snowflake

Databricks

Cloud data platforms

Job description

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.

The Opportunity

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.

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 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.

What You'll Be Doing

• 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

What We're Looking For

• Strong Python and SQL skills
• 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

Highly Desirable

• 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

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.

Package

• 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