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- Tasks: Design and deliver large-scale data systems for AI and research.
- Company: Ambitious tech organisation at the forefront of AI and data engineering.
- Benefits: Competitive salary, annual bonus, travel allowance, and flexible hybrid working.
- Why this job: Make a real impact in AI and healthcare with cutting-edge technology.
- Qualifications: Strong Python and SQL skills, experience with distributed data systems.
- Other info: Join a strong engineering culture with excellent career growth opportunities.
The predicted salary is between 130000 - 170000 £ per year.
Overview: Senior Data Engineer (various levels available 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 Senior 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.
- 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 Senior 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).
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.
Senior Data Engineer in Oxford employer: KDR Talent Solutions
Contact Detail:
KDR Talent Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in Oxford
✨Tip Number 1
Network like a pro! Connect with professionals in the data engineering field on LinkedIn or at industry events. Don’t be shy to reach out for informational chats; you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving large-scale data systems or AI applications. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and SQL skills. Practice coding challenges and system design questions that reflect the kind of work you'll be doing as a Senior Data Engineer.
✨Tip Number 4
Apply through our website! We’re always on the lookout for talented individuals who are passionate about data engineering. Your next big opportunity could be just a click away!
We think you need these skills to ace Senior Data Engineer in Oxford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with Python, SQL, and any large-scale data systems you've built. We want to see how your skills align with our cutting-edge projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and data engineering, and explain why you’re excited about working with us. Let’s see your personality come through while keeping it professional.
Showcase Relevant Projects: Include specific examples of projects you've worked on that demonstrate your ability to solve complex problems at scale. We love seeing real-world applications of your skills, especially if they relate to AI or healthcare!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at KDR Talent Solutions
✨Know Your Tech Inside Out
As a Senior Data Engineer, you’ll need to showcase your strong Python and SQL skills. Brush up on your knowledge of distributed data systems and be ready to discuss specific projects where you've built or operated these systems. Prepare to explain your thought process behind performance optimisation and reliability.
✨Demonstrate Problem-Solving Skills
Expect to face technical challenges during the interview. Be prepared to walk through how you approach complex problems, especially those involving large multimodal datasets. Use examples from your past experience to illustrate your systems mindset and how you’ve tackled issues in production environments.
✨Collaboration is Key
This role involves working closely with research, MLOps, and infrastructure teams. Highlight your experience collaborating with different teams and how you’ve contributed to strong engineering practices. Share specific instances where teamwork led to successful project outcomes.
✨Show Your Passion for AI and Research
The company is mission-driven and values genuine interest in AI and healthcare applications. Be ready to discuss why you’re passionate about these fields and how your work can contribute to real-world impact. This will help you connect with the interviewers on a deeper level.
