Data Management & Validation Lead - 39970 (814)

Join a cutting-edge engineering team leading the way in hybrid and electric powertrain development in Coventry. As a Data Management & Validation Lead, you'll be responsible for ensuring the accuracy, security, and accessibility of critical test data across multiple test environments, directly influencing engineering decisions. This role offers an exciting opportunity to work cross-functionally, deploying advanced data validation tools and building a federated data platform, while establishing yourself as the subject matter expert in data management and validation.

Position Description:
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 Lead 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. Data Sources and Data Acquisition Data Quality validation Data piping Data storage Data visualisation

To ensure we can develop world class propulsions systems, we need world class test and data management and validation. The specialist role looks to enable this seeking a person with extensive knowledge of different testing environments data management and validation. The role will require you to work cross functionally to deploy a common approach to data piping, data validation tools as well to build a federated data platform. You will be the Subject Matter Expert for data management and validation and deliver a training package to develop others in order to improve the data quality produced by the team.

Experience Required:

• Educated to degree level in a natural science, mathematical or engineering or computing discipline.
• Designing applications in different programming languages (preferable Python, Concerto)
• Build data systems & pipelines, data validation and management in cloud platforms (AWS, Google Cloud).
• Complex data analysis skills, including hypothesis testing, uncertainty analysis, and process variation.
• Ability to work closely with engineering stakeholders influence analysis techniques to inform engineering decisions.
• Develop Key Performance Indicator (KPI) and ability to graphical data presentation.
• Technical / theoretical understanding of physical measurement equipment
• Ability to deliver written reports and technical presentations.

Experience Preferred:

• Academic thesis or capstone project in formal field of study.
• Post-bachelor work in field of formal study.
• Six Sigma Green Belt or Black Belt certification.
• Technical knowledge of process, calculation and measurement techniques demanded by both engineering and legislative requirements.
• Experience in measurement science.
• Quantitative understanding of equipment measurement sensitivity