At a Glance
- Tasks: Design and automate data pipelines to enhance manufacturing efficiency and quality.
- Company: Join JLR, a leader in electric vehicle innovation and sustainability.
- Benefits: Enjoy discounts on car purchases, generous parental leave, and a performance bonus.
- Other info: Flexible working options and a commitment to diversity and inclusion.
- Why this job: Make a real impact on the future of electric cars with cutting-edge technology.
- Qualifications: Experience in data analysis, SQL, Python, and visualisation tools like Power BI.
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 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 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. JLR is committed to equal opportunity for all.
At JLR we are passionate about our people. They are at the heart of our business. We are committed to fostering a diverse, inclusive culture that is representative of our global customers and the society in which we live; a culture in which every one of our employees can bring their authentic self to work, and reach their full potential.
Senior Data Engineer employer: Jaguar & Land Rove
At JLR’s Electric Propulsion Manufacturing Centre, we pride ourselves on being an exceptional employer that champions innovation and collaboration. Our inclusive work culture fosters personal and professional growth, offering extensive benefits such as generous parental leave, a performance-related bonus, and a commitment to lifelong learning. Join us in shaping the future of electric vehicles while working alongside talented professionals in a dynamic environment that values your contributions and encourages you to push boundaries.
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 on LinkedIn or through industry events. 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 a project that highlights your data engineering expertise. When you get the chance, share it during interviews to demonstrate how you can add value to the team.
✨Tip Number 3
Be ready to discuss real-world problems! Think of examples where you've used data to solve issues in manufacturing. This will show that you understand the challenges JLR faces and how you can help tackle them.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in being part of the JLR family.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Show Your Passion for Data:When you're writing your application, let your enthusiasm for data engineering shine through! Talk about your experiences and how they connect to the role. We love seeing candidates who are genuinely excited about shaping the future of electric cars with us.
Tailor Your Application:Make sure to customise your CV and cover letter to highlight the skills and experiences that match the job description. Use keywords from the posting, like SQL, Python, and data pipelines, to show us you’re the perfect fit for our team.
Be Clear and Concise:We appreciate clarity! When describing your past projects or experiences, keep it straightforward and focused. Use bullet points if needed to make it easy for us to see your achievements and how they relate to the role.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at Jaguar & Land Rove
✨Know Your Data Tools
Make sure you brush up on your skills with SQL, Python, Power BI, and Tableau. Be ready to discuss how you've used these tools in past projects, especially in a manufacturing context. This will show that you can hit the ground running!
✨Understand the Manufacturing Environment
Familiarise yourself with the specific challenges and processes in a manufacturing setting. Think about how data flows through operations and be prepared to share insights on how you can improve efficiency and quality using data.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Practice explaining complex data concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical teams. This will demonstrate your ability to bridge gaps between different departments.
✨Show Your Collaborative Spirit
Collaboration is key in this role. Be ready to share examples of how you've worked with cross-functional teams in the past. Highlight your experience in defining data requirements and resolving issues, as this will showcase your problem-solving skills and teamwork.