Data Engineer (various levels but must be highly technical)
\| Cutting-Edge Research \& AI Platforms \| Hybrid (Oxford/London) \| up to £130k to 170k + Bonus \& Travel
The Company
Our client is an ambitious research and technology organisation operating at the intersection of AI, scientific computing and large-scale data engineering. They are building one of the most advanced data platforms in the UK, designed to support AI training, complex research workflows and real-world healthcare applications.
With long-term funding, serious compute, and teams made up of engineers, scientists and ML specialists from top global organisations, they are tackling problems typically seen in big tech and AI labs rather than traditional enterprise environments.
This is a mission-driven organisation with genuine technical depth and a very high engineering bar.
The Role
As a Data Engineer, you’ll be a core contributor to the design and delivery of large-scale, production-grade data systems that underpin research and AI across the organisation.
You will work on:
Building high-throughput, reliable data pipelines for AI and scientific workloads.
Designing scalable ingestion, processing and data access services.
Working with large multimodal datasets including imaging, text, sensor and video data.
Implementing data quality, validation, lineage and observability frameworks.
Optimising performance, reliability and cost across storage and compute layers.
Collaborating closely with Research, MLOps and Infrastructure teams.
Contributing to strong engineering practices including testing, CI/CD and design reviews.
This is backend, platform-focused data engineering, with real ownership of production systems.
Your Experience
You’re an experienced data engineer who enjoys solving hard problems at scale and building systems that others depend on.
Strong candidates will typically have:
Strong Python engineering skills and solid SQL for large-scale data workloads.
Experience building and operating distributed data systems in production.
A systems mindset - thinking about performance, reliability and failure modes.
Comfort working with complex datasets and asynchronous pipelines.
Experience collaborating with ML, research or infrastructure teams (highly beneficial).
High standards for code quality, automation and maintainable design.
Titles matter less than impact - they care far more about what you’ve built and how you think.
Why Join?
Highly competitive salary up to £170,000 depending on experience
Annual bonus + travel allowance
Flexible hybrid working (Oxford \& London offices, typically 3 days per week)
Work on one of the most technically ambitious data platforms in the UK
Direct contribution to AI and healthcare research with real-world impact
Strong engineering culture with long-term roadmap and funding stability
Reach out if you think you are a good fit.