Jonathan Lee Recruitment
Data Quality Management Specialist
Reference: 37230855
Umbrella Rate: £28.54/hr (Inside IR35)
Do you have strong experience in programming, alongside building software applications and automation workflows? This is your chance to join a forward-thinking organisation at the cutting edge of hybrid and electric powertrain development. As a Data Quality Management Specialist, you’ll be part of a team that is revolutionising the future of automotive engineering. This company is committed to delivering electrifying performance and peerless refinement, offering an exciting opportunity to work on innovative projects in a dynamic and inspiring environment.
What You Will Do:
• Manage and validate test data across electric machine, electric drive unit (EDU), inverter, cell, battery, power-in-loop (PiL), and vehicle-in-loop (ViL) test beds. • Ensure timely, accurate, secure, and accessible test data to support efficient engineering decisions. • Deploy a common approach to data piping and validation tools while building a federated data platform. • Oversee data acquisition, quality validation, and storage to maintain world-class testing standards. • Collaborate cross-functionally to influence engineering stakeholders and recommend data-driven decisions.
What You Will Bring:
• Strong programming skills, ideally in Python, with familiarity in C#, JavaScript, or other languages. • Proven experience in designing and operating data pipelines, ETL workflows, and validation systems. • Expertise in cloud platforms such as AWS, Google Cloud, or Azure. • Proficiency in data analysis, including statistical evaluation and measurement variation. • Familiarity with version control (Git), CI/CD pipelines, containerisation (Docker), and modern development practices.
As a Data Quality Management Specialist, you will play a pivotal role in enabling world-class propulsion systems through exceptional data management and validation. This company values innovation, precision, and collaboration, ensuring you’ll be part of a team dedicated to pushing boundaries and achieving excellence. Your contribution will directly impact the development of cutting-edge technologies and sustainable solutions in the automotive industry.
Location:
This role is based in Whitley, offering a vibrant and accessible location for professionals seeking to make an impact in automotive engineering.
Interested?
If you’re passionate about data management, validation, and shaping the future of automotive technology, don’t miss this opportunity. Apply today and take the first step towards an exciting and rewarding career as a Data Quality Management Specialist.
Your CV will be forwarded to Jonathan Lee Recruitment, a leading engineering and manufacturing recruitment consultancy established in 1978. The services advertised by Jonathan Lee Recruitment are those of an Employment Agency. In order for your CV to be processed effectively, please ensure your name, email address, phone number and location (post code OR town OR county, as a minimum) are included.
To apply for this job please visit www.reed.co.uk.
Make this application stronger
Use these quick checks before applying so your CV, interview preparation and job search are better matched to this vacancy.
Before you apply
Check the key details and make sure the role matches what you are looking for.
- Review the job title, company, location, salary and working pattern if provided.
- Check the skills, experience or qualifications requested by the employer.
- Make sure the commute, hours and contract type are realistic for you.
Tailor your CV
For IT Jobs, highlight the most relevant skills, experience and achievements linked to this type of work. Keep it honest, clear and focused on what the employer is asking for.
Use the CV Builder or browse Career Advice.
Prepare for interview
If your application is successful, prepare simple examples that show your motivation, strengths and suitability.
Keep searching smarter
Do not rely on one application. Keep searching similar roles and set up alerts so new vacancies reach you faster.
