Data Quality Engineer

• Work across Electric machine, Electric Drive Unit (EDU), Inverter, Cell, Battery, Power in loop (PiL) and Vehicle in Loop (ViL) test beds
• Provide timely, accurate, secured and accessible test data for wider engineering group to enable efficient engineering decisions
• Responsible for Data Sources and Data Acquisition, Data Quality validation, Data piping, Data storage, Data visualisation
• Work cross functionally to deploy a common approach to data piping and data validation tools, to build a federated data platform

Do you have a background in Automotive Data Quality, are you excited about data management and validation?, * Ideally hold a Degree qualification in a relevant subject matter

• Knowledge of various testing environments data management and validation
• 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 reporting, documentation, and presentation skills
• Understanding of physical-measurement systems and their digital data behaviour
• Familiarity with version control (Git), CI/CD pipelines and containerisation