Lead Data Engineer

Job Description

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.