At a Glance
- Tasks: Design and maintain advanced testing systems, turning data into actionable insights.
- Company: Exciting venture-backed deep-tech start-up redefining high-performance engineering.
- Benefits: Competitive salary, equity options, private healthcare, and generous training allowance.
- Why this job: Join a hands-on team shaping the future of advanced technology and innovation.
- Qualifications: Experience in data acquisition systems, hardware integration, and collaborative coding.
- Other info: Flexible working, international collaboration, and a culture that values creativity.
The predicted salary is between 36000 - 60000 £ per year.
Job Description
Experimental Data Engineer – Advanced Engineering Start-Up – Oxfordshire
We have an incredible opportunity for an Experimental Data Engineer to join one of the UK's most exciting venture-backed deep-tech start-ups. This fast growing company is redefining the future of high-performance engineered systems and advanced materials, combining world-class engineering with cutting edge data science, proprietary software, and additive manufacturing.
Innovation here isn't theoretical – it's hands-on, tested, and built into the next generation of advanced products.
In this role you'll work alongside exceptional engineers, metallurgists, and software developers at the forefront of materials design, precision manufacturing, and experimental validation. This is a chance to be part of a team where experimentation, insight, and creativity directly influence real-world technology.
As an Experimental Data Engineer, you will design, build, and maintain advanced testing and data acquisition systems. You will configure hardware, integrate sensors, and develop software to collect, process, and visualise complex datasets, turning raw data into actionable insights that drive performance and product development. You will also automate workflows, expand experimental capabilities with new technologies, and collaborate closely with design and engineering teams to ensure all tests are feasible, accurate, and impactful.
The ideal candidate will have a strong background in data acquisition systems, preferably using LabVIEW, Python, or C, with hands-on experience in hardware integration and control systems. You will be comfortable working with high-speed and high-temperature data, familiar with electronics and sensors, and experienced in collaborative coding using tools such as Git. Candidates with a PhD or industry experience in Mechanical, Aerospace, Electrical, or related STEM disciplines are highly desirable. Additional experience in embedded electronics, performance testing, or UX design for control and visualisation systems will be a strong advantage.
Competitive salary with annual performance-based bonuses
* Equity options – share in the company's long-term success
* Private healthcare and comprehensive wellbeing package
* Generous pension scheme (9% non contributory)
* Dedicated R&D time to explore new technologies and research ideas
* Annual training & conference allowance of £5,000 for personal development
* Flexible and hybrid working – work where you're most effective
* Opportunities for international collaboration with teams in Europe, Asia, and the US
* 25 days holiday plus your birthday off and extra days for long service
* Regular team offsites, guest talks, and hack weeks to spark innovation
* An open, supportive culture that values curiosity, creativity, and deep technical mastery
If you're passionate about data, experimentation, and cutting-edge engineering, this is your chance to help shape the future of advanced technology. To apply for this position, please send your CV to Lina Savjani at Noir.
NC/LS/EXPDE
Experimental Data Engineer - Oxford - Onsite/Hybrid employer: Noir
Contact Detail:
Noir Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Experimental Data Engineer - Oxford - Onsite/Hybrid
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at the company. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio or a GitHub repository showcasing your projects, especially those related to data acquisition systems or hardware integration. This gives you a chance to demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on relevant technologies like LabVIEW, Python, or C. Be ready to discuss your past experiences and how they relate to the role of an Experimental Data Engineer.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in being part of our innovative team.
We think you need these skills to ace Experimental Data Engineer - Oxford - Onsite/Hybrid
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Experimental Data Engineer role. Highlight your background in data acquisition systems and any hands-on experience with LabVIEW, Python, or C. We want to see how you can bring your unique expertise to our innovative team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data and experimentation. Share specific examples of your past projects that demonstrate your creativity and problem-solving skills. We love seeing how candidates connect their experiences to our mission at StudySmarter.
Showcase Your Collaborative Spirit: Collaboration is key in our fast-paced environment. In your application, mention any experiences where you've worked closely with engineers or developers. Highlight your familiarity with tools like Git, as teamwork and shared coding practices are essential for us at StudySmarter.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it shows your enthusiasm for joining our team!