At a Glance
- Tasks: Join a team testing next-gen electrified propulsion systems and manage data quality.
- Company: Expleo, a leader in automotive data management with a proactive culture.
- Benefits: Competitive pay, hands-on experience, and opportunities for professional growth.
- Other info: Dynamic role with potential for career advancement in a collaborative environment.
- Why this job: Make an impact in the automotive industry while working with cutting-edge technology.
- Qualifications: Degree in relevant field and strong programming skills, especially in Python.
The predicted salary is between 63000 - 77000 £ per year.
Do you have a background in Automotive Data Quality, are you excited about data management and validation? Expleo are seeking a highly organised and proactive Data Quality Engineer, you will be a part of the team testing the next generation of electrified propulsion systems, based in Warwickshire on a Contract basis.
Key Responsibilities of the Data Quality Engineer include:
- 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
Qualifications and skills required for the Data Quality Engineer include:
- 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
To meet with current legislation, right to work checks will be carried out to ensure candidates can work in the UK. Regretfully, we are unable to support applications that require sponsorship.
If you are interested in applying for the role of Data Quality Engineer or require further information, please contact: Jacquie Linton 02034797125 TPBN1_UKTJ
Data Quality Engineer in Slough employer: Expleo Group
Expleo Group is an excellent employer that fosters a collaborative work culture, encouraging innovation and creativity among its employees. Located in Preston, the company offers competitive benefits, professional development opportunities, and a supportive environment for growth, making it an ideal place for those looking to make a meaningful impact in the automotive engineering sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Quality Engineer in Slough
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Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Expleo Group before they're even advertised!
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Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
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We think you need these skills to ace Data Quality Engineer in Slough
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Expleo Group, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Expleo Group, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Expleo Group’s attention and show the tangible impact of your work.
How to prepare for a job interview at Expleo Group
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Expleo Group.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Expleo Group.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Expleo Group.
