Lead Data Engineer – Help Shape the Future of Mental Health Research
Are you a hands-on leader who loves crafting clean architecture and mentoring engineers how to do the same? Do you enjoy building data pipelines that actually scale? Are you seeking a challenge as well as a mission that matters?
Join a health-focused data team working at the intersection of research, AI and engineering. You’ll be the right hand to the Head of Engineering, helping elevate the team’s technical maturity, drive best practices and build something meaningful.
️ What you'll do:
Lead and mentor a junior-heavy team of data engineers
Build and scale robust pipelines using Spark, Kafka and Delta Lake
Define test-driven, documented and repeatable engineering practices
Work closely with AI, research and DevOps to deliver products and insights
Handle sensitive health data (PII) and extract structured data from PDFs/docs
Contribute to cost optimisation and smarter cloud usage
Where you'll do it:
~2 days a week in the office (1 day in Oxford and 1 day in London)
Tech you'll use:
Python, SQL, Spark, Kafka, Kubernetes, Docker, Airflow, RabbitMQ, AWS, Delta Lake
✅ You’ll thrive here if you:
Believe in clean code, strong documentation and a test-first mindset
Enjoy mentoring and levelling up junior devs
Have worked with PII and/or document extraction challenges
If you want to play a pivotal role in a growing team with an opportunity to become the future Head of Data, then don't miss this opportunity.