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- Tasks: Ensure data integrity and manage test data for electrified propulsion systems.
- Company: Join a leading engineering team innovating in hybrid and electric powertrains.
- Benefits: Enjoy a collaborative work environment with opportunities for growth and skill development.
- Why this job: Be part of a cutting-edge project that impacts the future of sustainable transport.
- Qualifications: Experience in data management, preferably in automotive or engineering sectors.
- Other info: Ideal for tech-savvy individuals passionate about data and engineering.
The predicted salary is between 36000 - 60000 £ per year.
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
Data Quality Management Specialist – Propulsion Test Data employer: EES Solutions
Contact Detail:
EES Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Quality Management Specialist – Propulsion Test Data
✨Tip Number 1
Familiarise yourself with the latest trends in data management and validation, especially within the automotive and aerospace sectors. This knowledge will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the electrified propulsion systems field. Attend industry events or join relevant online forums to connect with others who work in data quality management. These connections can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Brush up on your programming skills, particularly in Python, as it’s often used for data handling and automation. Consider working on personal projects or contributing to open-source initiatives that involve data management to showcase your abilities.
✨Tip Number 4
Prepare to discuss specific examples of how you've ensured data integrity and accessibility in past roles. Be ready to explain the tools and techniques you used for data validation and error detection, as this will demonstrate your hands-on experience and problem-solving skills.
We think you need these skills to ace Data Quality Management Specialist – Propulsion Test Data
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data management and validation, especially within testing environments. Emphasise any hands-on experience with data acquisition systems and your understanding of data quality principles.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about working in the electrified propulsion sector. Mention specific projects or experiences that demonstrate your ability to manage and validate test data effectively.
Showcase Technical Skills: Clearly outline your technical skills related to data storage architecture, security protocols, and data visualisation tools. If you have programming skills in Python or similar languages, be sure to highlight these as they are valuable for this role.
Highlight Collaborative Experience: Since the role involves cross-functional collaboration, provide examples of how you've successfully worked with different teams or stakeholders in previous roles. This will show your ability to influence and work effectively in a team environment.
How to prepare for a job interview at EES Solutions
✨Showcase Your Technical Expertise
Make sure to highlight your hands-on experience in data management and validation, especially within testing environments. Be prepared to discuss specific tools and techniques you've used for data quality validation and error detection.
✨Demonstrate Cross-Functional Collaboration
Since the role involves working with various engineering disciplines, share examples of how you've successfully collaborated with different teams. Emphasise your ability to influence stakeholders and establish common frameworks for data validation.
✨Familiarise Yourself with Relevant Technologies
Brush up on your knowledge of data acquisition systems, storage architecture, and visualisation tools. Being able to discuss these technologies confidently will show that you're well-prepared for the role.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in data management and how you overcame them, particularly in the context of electrified propulsion systems or similar fields.
