Data Engineer

• 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

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.