Data Engineer
£90,000
LONDON
This is an exciting opportunity to join a YC-backed Healthcare AI startup at an early stage of growth. You'll take ownership of critical data infrastructure, work directly on AI-powered products, and have the opportunity to make a significant impact on both the platform and the wider business from day one.
THE COMPANYOur client is a fast-growing Healthcare AI startup building commercial intelligence products for pharmaceutical, biotech and medtech organisations. Their platform helps customers make better commercial decisions using large-scale healthcare datasets, analytics and AI. Following strong early traction, they're looking to expand their engineering team with a high-impact Data Engineer.
THE ROLE- Build and maintain scalable ETL/ELT pipelines using Python and SQL
- Develop data ingestion and acquisition processes for large, complex datasets
- Leverage LLMs and AI APIs for extraction, classification and data validation
- Design schemas and implement data modelling, deduplication and entity resolution processes
- Work across Data Engineering, AI, product and data acquisition initiatives
- Build APIs and data products that power customer-facing applications
- Take ownership of projects from initial concept through to production deployment
- Strong Python and SQL experience
- Proven track record building and maintaining production data pipelines
- Experience taking ownership of end-to-end engineering projects
- Comfortable working autonomously within a fast-paced startup environment
- Strong problem-solving skills and technical foundations
- Experience with LLMs, AI APIs or prompt engineering would be advantageous
- Data scraping, large-scale data acquisition or healthcare data experience would be beneficial
- Experience with Databricks, MongoDB or product engineering is desirable
- £70,000 - £90,000 base salary
- Equity package
- Opportunity to join a YC-backed startup at an early stage
- Significant ownership and autonomy
- Work directly on AI-powered products
- Sponsorship available for exceptional candidates
Please register your interest by sending your CV to Harry Lack through the 'Apply' link.