Data Quality Management Specialist – Propulsion Test Data

Job Title: Data Quality Management Specialist – Propulsion Test Data

Location: Warwickshire

Join a cutting-edge engineering environment focused on developing next-generation electrified propulsion systems across hybrid and fully electric powertrains. As a Data Quality Management Specialist, you will play a pivotal role in ensuring timely, accurate, secure, and accessible test data to support efficient engineering decisions across a broad range of propulsion testing environments.

This role covers a variety of testing areas, including:

• Electric Machine
  
  
• Electric Drive Unit (EDU)
  
  
• Inverter
  
  
• Battery Cell & Pack
  
  
• Power-in-Loop (PiL)
  
  
• Vehicle-in-Loop (ViL)
  
  You'll be part of a collaborative team responsible for validating, managing, and visualising test data for use across multiple engineering disciplines.
  
  Key Responsibilities
  
  
• Ensure the integrity and availability of data from diverse propulsion system test environments.
  
  
• Design and implement data acquisition pipelines from multiple sources across test facilities.
  
  
• Develop and apply tools and techniques for data quality validation and error detection.
  
  
• Manage data storage solutions to guarantee accessibility and security across departments.
  
  
• Support deployment of data visualisation tools to make test data easy to interpret and act upon.
  
  
• Collaborate cross-functionally to establish a common framework for data validation, piping, and analysis.
  
  
• Contribute to the development of a federated data platform for engineering teams.
  
  
• Drive continuous improvement in how test data is collected, stored, and utilised.
  
  Key Skills and Experience
  
  Essential:
  
  
• Hands-on experience in data management or validation within testing environments (preferably in automotive, aerospace, or engineering sectors).
  
  
• Strong understanding of data quality principles and validation techniques.
  
  
• Practical experience with data acquisition systems and piping from test environments.
  
  
• Knowledge of data storage architecture and security protocols.
  
  
• Familiarity with data visualisation tools and techniques.
  
  
• Proven ability to work cross-functionally and influence stakeholders.
  
  Desirable:
  
  
• Experience in electrified propulsion system testing (e.g. battery, inverter, EDU, e-machine).
  
  
• Background working with Power-in-Loop (PiL) or Vehicle-in-Loop (ViL) test beds.
  
  
• Knowledge of cloud-based or federated data platforms.
  
  
• Programming skills in Python or similar for data handling/automation