Data Quality Validation Specialist - 37230855 (1306)
Coventry, West Midlands
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Competitive salary
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Job Title: Data Quality Validation Specialist - 37230855
Location: Coventry
The Opportunity
Be a part of the team testing the next generation of electrified propulsion systems. We are at the forefront of development in hybrid and full electric powertrains, aiming to deliver electrifying performance and peerless refinement. We are looking for individuals who are excited about our data management and validation and can bring their passion and experience to our growing team. This role will work across Electric machine, Electric Drive Unit (EDU), Inverter, Cell, Battery, Power in loop (PiL) and Vehicle in Loop (ViL) test beds covering. The person in data validation and management role will be responsible to provide timely, accurate, secured and accessible test data for wider engineering group to enable efficient engineering decisions.
Key Terms:
Skills:
Education:
Location: Coventry
The Opportunity
Be a part of the team testing the next generation of electrified propulsion systems. We are at the forefront of development in hybrid and full electric powertrains, aiming to deliver electrifying performance and peerless refinement. We are looking for individuals who are excited about our data management and validation and can bring their passion and experience to our growing team. This role will work across Electric machine, Electric Drive Unit (EDU), Inverter, Cell, Battery, Power in loop (PiL) and Vehicle in Loop (ViL) test beds covering. The person in data validation and management role will be responsible to provide timely, accurate, secured and accessible test data for wider engineering group to enable efficient engineering decisions.
Key Terms:
- Data Sources and Data Acquisition
- Data Quality validation
- Data Piping
- Data storage
- Data Visualisation
Skills:
- Strong programming skills (Python preferred; experience with C#, JavaScript or other languages advantageous).
- Experience building software applications, automation workflows, and data?processing tools.
- Proficiency in designing and operating data pipelines, ETL workflows, and data?validation systems.
- Experience with cloud platforms such as AWS, Google Cloud or Azure.
- Data analysis skills including statistical evaluation, uncertainty analysis and measurement variation.
- Ability to influence engineering stakeholders and recommend data?/software?driven decisions.
- Strong written reporting, documentation, and presentation skills.
- Understanding of physical?measurement systems and their digital data behaviour.
- Familiarity with version control (Git), CI/CD pipelines, containerisation (Docker), and modern dev practices.
Education:
- Degree in Engineering, Computing, Mathematics, Natural Sciences or similar.