About this role
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 COMPANY Our 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 SQLDevelop data ingestion and acquisition processes for large, complex datasetsLeverage LLMs and AI APIs for extraction, classification and data validationDesign schemas and implement data modelling, deduplication and entity resolution processesWork across Data Engineering, AI, product and data acquisition initiativesBuild APIs and data products that power customer-facing applicationsTake ownership of projects from initial concept through to production deployment YOUR SKILLS AND EXPERIENCE Strong Python and SQL experienceProven track record building and maintaining production data pipelinesExperience taking ownership of end-to-end engineering projectsComfortable working autonomously within a fast-paced startup environmentStrong problem-solving skills and technical foundationsExperience with LLMs, AI APIs or prompt engineering would be advantageousData scraping, large-scale data acquisition or healthcare data experience would be beneficialExperience with Databricks, MongoDB or product engineering is desirable SALARY AND BENEFITS £70,000 - £90,000 base salaryEquity packageOpportunity to join a YC-backed startup at an early stageSignificant ownership and autonomyWork directly on AI-powered productsSponsorship available for exceptional candidates HOW TO APPLY Please register your interest by sending your CV to Harry Lack through the 'Apply' link.