Data Engineer HealthTech Equity Mid-Level
Role details
Job location
Tech stack
Requirements
- Solid experience as a Data Engineer, ideally in fast-moving environments
- Strong Python and ETL development skills
- Understanding of database structures and migration challenges
- Problem-solving mindset with a bias for action
- Bonus: experience in healthcare, ML, or startup settings
Benefits & conditions
Data EngineerSalary £60,000-£75,000 + Equity, 25 days holiday, Pension + moreLocation - London (Hybrid)| Python | ETL | Impact-Driven TeamI'm working with a fast-growing healthtech client that's reshaping access to fertility care across Europe. They've just hired one Data Engineer and urgently need another to join their lean, high-performing team.This is a hands-on Data Engineer role where you'll be at the heart of a major migration project - moving legacy IT systems and databases onto modern platforms. You'll write Python scripts, build ETLs, and find smart ways to transform messy, unstructured data into clean, structured formats that support machine learning models and real-time decision-making.You'll be joining a team that values speed, autonomy, and output. The environment is fast-paced, collaborative, and mission-driven ideal for a Data Engineer who thrives on solving real problems and wants their work to make a tangible difference.?? What You'll Be Doing
- Build and optimize ETL pipelines in Python
- Migrate legacy databases to modern platforms
- Clean and transform unstructured data into usable formats
- Support ML workflows and data-driven product features
- Collaborate with engineering, product, and leadership to deliver fast, meaningful results, ?? Why This Role?
- Mission-led product with real-world impact
- Equity on offer with meaningful upside
- Interview process focused on how you think, not just what you know
- You'll be joining a team that's grown from 7 to 75 in just 3 months and they're just getting started
- A chance to be the kind of Data Engineer who builds systems that matter