Senior Data Engineer

Senior Data Engineer

Full-Time 55000 - 65000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Design and automate data pipelines to enhance manufacturing efficiency and insights.
  • Company: Join JLR, a leader in electric vehicle manufacturing with a commitment to innovation.
  • Benefits: Enjoy competitive salary, flexible working, and generous parental leave policies.
  • Other info: Inclusive culture that values growth and development for all backgrounds.
  • Why this job: Make a real impact on the future of electric cars while growing your technical skills.
  • Qualifications: Experience in data analysis, SQL, Python, and tools like Power BI or Tableau.

The predicted salary is between 55000 - 65000 £ per year.

In the Manufacturing team at JLR’s Electric Propulsion Manufacturing Centre (EPMC), you’ll help power iconic electric cars. You will be working alongside incredible technicians and leaders to drive our commitment to shape a future we truly believe in, together. Use your expertise, cutting-edge technology, and problem-solving skills to ensure efficient, sustainable and high-quality production. Fuel the exceptional.

As a Senior Data Engineer, you’ll play a central role in how data flows across JLR’s propulsion operations. You’ll design and deliver solutions that turn complex datasets into meaningful insights, helping teams improve quality, efficiency and performance. This is your chance to push boundaries, channel your curiosity and grow your expertise in a space where innovation meets real-world engineering.

WHAT TO EXPECT

You’ll work at the heart of manufacturing and digital teams, connecting data, people and technology. With end-to-end ownership of dashboards and data pipelines, you’ll help shape how decisions are made across the business while crafting your technical skills. Here’s what to expect:

  • Designing and automating data pipelines to streamline reporting and reduce manual effort across propulsion operations
  • Building and maintaining dashboards using Power BI, Tableau and SAP data to deliver clear, actionable insights
  • Extracting, cleansing and validating data from systems such as SAP to ensure accuracy and consistency
  • Collaborating with engineering, manufacturing and quality teams to define data requirements and improve workflows
  • Supporting data governance and resolving data issues to enhance reliability and decision-making

WHAT YOU’LL NEED

Along with your ambition to achieve the exceptional, there are several skills that will help you succeed here, including:

  • Demonstrating experience in data analysis and architecture within a manufacturing environment
  • Using tools such as SQL, Python, Power BI and Tableau to analyse and visualise complex datasets
  • Working with data platforms such as SAP, Google Cloud or BigQuery to manage and transform data
  • Applying strong data validation, cleansing and reporting practices with attention to detail
  • Communicating complex data clearly while collaborating across technical and non-technical teams

BENEFITS

This role is rewarding in more ways than one. On top of our core offering, you’ll do extraordinary work with amazing people. In addition, you can expect a wide range of benefits:

  • Discounted car purchase (open to family members, too)
  • A 52 week maternity leave policy and a 4 week paternity leave policy. Other parental leave policies are available
  • A competitive pension
  • A JLR company performance-related bonus
  • An employee learning scheme providing funding for education, training and other activities which support the development of personal skills and promote lifelong learning
  • Access to open, employee-led support and social networks
  • Comprehensive Life Assurance and Income Protection policies
  • Flexible working*

*Flexible working is offered for specific roles dependant on responsibilities. Please speak to the hiring team for details.

We work hard to nurture a culture that is inclusive and welcoming to all. We understand candidates may require reasonable adjustments during the recruitment process. Please discuss these with your recruiter so we can accommodate your needs.

Applicants from all backgrounds are welcome. If you’re unsure that you meet the full criteria of a role – but you're interested in where it could take you – we still encourage you to apply. We believe in people's ability to grow and develop within their role – it’s what makes living the exceptional with soul possible.

JLR is committed to equal opportunity for all.

Senior Data Engineer employer: Jobs at JLR

At JLR's Electric Propulsion Manufacturing Centre in Wolverhampton, we pride ourselves on being an exceptional employer that fosters innovation and collaboration. As a Senior Data Engineer, you'll not only contribute to the future of electric vehicles but also enjoy a supportive work culture with extensive benefits, including flexible working options, generous parental leave, and a commitment to employee development through learning schemes. Join us to be part of a team that values your growth and empowers you to make a meaningful impact.

J

Contact Details:

Jobs at JLR Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Engineer

Tip Number 1

Network like a pro! Reach out to current employees at JLR or in the manufacturing sector on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.

Tip Number 2

Show off your skills! Prepare a portfolio or case studies showcasing your data engineering projects. This is your chance to demonstrate how you've turned complex datasets into actionable insights.

Tip Number 3

Practice makes perfect! Brush up on your SQL, Python, and dashboard-building skills before the interview. Being able to talk through your technical expertise confidently will impress the hiring team.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in being part of the JLR family and contributing to their innovative journey.

We think you need these skills to ace Senior Data Engineer

Data Analysis
Data Architecture
SQL
Python
Power BI
Tableau
SAP

Some tips for your application 🫡

Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior Data Engineer role. Highlight your experience with data analysis, SQL, Python, and any relevant tools like Power BI or Tableau. We want to see how you can contribute to our mission!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data engineering and how your background aligns with our goals at JLR. Be genuine and let your personality come through – we love seeing the real you!

Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex data challenges in the past. We’re looking for innovative thinkers who can turn data into actionable insights, so don’t hold back on sharing your success stories!

Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative!

How to prepare for a job interview at Jobs at JLR

Know Your Data Tools

Make sure you’re well-versed in SQL, Python, Power BI, and Tableau. Brush up on how these tools can be used to analyse and visualise complex datasets, as you'll likely be asked about your experience with them during the interview.

Understand the Manufacturing Environment

Familiarise yourself with the specific challenges and processes within a manufacturing setting. Be ready to discuss how your data engineering skills can improve workflows and decision-making in this context.

Prepare for Technical Questions

Expect to dive deep into technical discussions. Prepare to explain your approach to designing and automating data pipelines, as well as how you ensure data accuracy and consistency when working with systems like SAP.

Showcase Your Collaboration Skills

Since you'll be working with both technical and non-technical teams, be prepared to share examples of how you've effectively communicated complex data insights in the past. Highlight your ability to collaborate across different departments.