At a Glance
- Tasks: Join a team testing next-gen electrified propulsion systems and manage data quality.
- Company: Expleo, a leader in automotive innovation with a focus on data management.
- Benefits: Competitive pay, hands-on experience, and the chance to work on cutting-edge technology.
- Other info: Dynamic role with opportunities for growth in a collaborative environment.
- Why this job: Make an impact in the automotive industry while honing your data skills.
- Qualifications: Degree in a relevant field and strong programming skills, especially in Python.
The predicted salary is between 70000 - 90000 £ 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 AMRT1_UKTJ
Data Quality Engineer employer: Expleo Group
Expleo is an exceptional employer, offering a dynamic work environment in Warwickshire where innovation meets automotive excellence. As a Data Quality Engineer, you will benefit from a collaborative culture that prioritises employee growth and development, alongside access to cutting-edge technology in electrified propulsion systems. With a focus on data management and validation, Expleo provides unique opportunities for meaningful contributions to the future of mobility while fostering a supportive atmosphere for professional advancement.
StudySmarter Expert Advice🤫
We think this is how you could land Data Quality Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Expleo Group!
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Expleo Group.
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We think you need these skills to ace Data Quality Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Expleo Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Expleo Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Expleo Group
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Expleo Group!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
