Data Engineer HealthTech Equity Mid-Level

Opus Recruitment Solutions
21 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
£ 75K

Job location

Tech stack

ETL
Database Storage Structures
Python

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

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