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- Tasks: Design and maintain advanced testing systems, turning raw data into actionable insights.
- Company: Exciting deep-tech start-up redefining high-performance engineered systems.
- Benefits: Competitive salary, equity options, private healthcare, and generous training allowance.
- Why this job: Join a hands-on team influencing real-world technology with cutting-edge engineering.
- Qualifications: Experience in data acquisition systems and collaborative coding; STEM background preferred.
- Other info: Flexible working, international collaboration, and a culture that values creativity.
The predicted salary is between 28800 - 48000 £ per year.
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.
Data Engineer in Oxford employer: Noir Consulting
Contact Detail:
Noir Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Oxford
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. We can’t stress enough how personal connections can lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to data acquisition systems or hardware integration. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions and practical scenarios. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Engineer in Oxford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the role of an Experimental Data Engineer. Highlight your background in data acquisition systems, programming languages like Python or LabVIEW, and any hands-on experience with hardware integration.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about this opportunity. Share specific examples of your past projects or experiences that demonstrate your passion for data and engineering, and how they align with our innovative culture.
Showcase Your Technical Skills: Don’t shy away from detailing your technical expertise! Mention your familiarity with high-speed data, electronics, and collaborative coding tools like Git. This is your chance to show us how you can contribute to our cutting-edge projects.
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’re considered for this exciting role. Plus, it gives you a chance to explore more about our company and culture!
How to prepare for a job interview at Noir Consulting
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like LabVIEW, Python, and C. Brush up on your knowledge of data acquisition systems and hardware integration, as you might be asked to discuss specific projects or challenges you've faced.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex data challenges in the past. Think about times when you turned raw data into actionable insights or automated workflows. This will demonstrate your hands-on experience and creativity in real-world applications.
✨Collaborate Like a Pro
Since this role involves working closely with engineers and developers, be ready to discuss your experience with collaborative coding tools like Git. Highlight any team projects where you contributed to design and engineering efforts, showcasing your ability to work effectively in a team environment.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the company’s innovative projects and culture. Inquire about their current R&D initiatives or how they approach experimentation in product development. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
