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- Tasks: Manage and validate data for cutting-edge electric vehicle testing.
- Company: Join a leading luxury automotive brand revolutionising electrified propulsion systems.
- Benefits: Enjoy hybrid work options and competitive pay of £28/hr.
- Why this job: Be part of an innovative team shaping the future of sustainable automotive technology.
- Qualifications: Knowledge of data management in testing environments is essential.
- Other info: Potential for yearly renewal and opportunities for professional development.
Our premium brand Automotive client is currently recruiting for the following role: Data Management and Validation Engineer – £28/hr (Inside IR35) – Coventry (hybrid potential) – 9 Months (potential for yearly renewal) The Opportunity Be a part of the team testing the next generation of electrified propulsion systems for luxury automotive products. Our client is at the forefront of development in hybrid and full electric powertrains, aiming to deliver electrifying performance and peerless refinement. 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. The person in this data validation and management role will be responsible in providing 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 The specialist role requires an individual with 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 working towards becoming the Subject Matter Expert for data management and validation and deliver a training package to develop others in order to improve the…
Data Management and Validation Engineer employer: Premea
Contact Detail:
Premea Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Management and Validation Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in data management and validation, especially within the automotive sector. Understanding the specific technologies and methodologies used in electric propulsion systems will give you an edge during discussions.
✨Tip Number 2
Network with professionals in the automotive industry, particularly those involved in data management and validation. Attend relevant webinars or industry events to make connections that could lead to valuable insights and potential referrals.
✨Tip Number 3
Prepare to discuss your experience with data quality validation and data visualisation tools. Be ready to share specific examples of how you've successfully managed and validated data in previous roles, as this will demonstrate your expertise.
✨Tip Number 4
Showcase your ability to work cross-functionally by highlighting any past experiences where you've collaborated with different teams. This is crucial for the role, so emphasising your teamwork skills can set you apart from other candidates.
We think you need these skills to ace Data Management and Validation Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data management and validation. Focus on specific projects or roles where you've worked with data quality validation, data acquisition, and visualisation.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the automotive industry. Mention your understanding of electrified propulsion systems and how your skills align with the responsibilities outlined in the job description.
Showcase Technical Skills: Clearly list any technical skills related to data piping, storage, and validation tools. If you have experience with specific software or methodologies used in data management, be sure to include those details.
Highlight Cross-Functional Experience: Since the role requires working cross-functionally, provide examples of past experiences where you've collaborated with different teams. This will demonstrate your ability to communicate and work effectively in a team environment.
How to prepare for a job interview at Premea
✨Understand the Role
Make sure you thoroughly understand the responsibilities of a Data Management and Validation Engineer. Familiarise yourself with terms like data piping, data validation tools, and the specific testing environments mentioned in the job description.
✨Showcase Relevant Experience
Prepare to discuss your previous experience with data management and validation. Highlight any projects where you worked with electric machines, inverters, or battery systems, as this will demonstrate your suitability for the role.
✨Prepare Questions
Have insightful questions ready about the company's approach to data management and the technologies they use. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
✨Demonstrate Teamwork Skills
Since the role involves cross-functional collaboration, be prepared to share examples of how you've successfully worked in teams. Emphasise your ability to communicate effectively and contribute to a common goal.
