At a Glance
- Tasks: Design and optimise data pipelines while collaborating with business partners.
- Company: Join JLR, a leader in luxury automotive innovation and sustainability.
- Benefits: Enjoy flexible working, competitive pay, and perks like discounted car purchases.
- Why this job: Be part of a dynamic team transforming data analytics in a prestigious brand.
- Qualifications: Experience with Python and GCP is essential; strong communication skills are a must.
- Other info: Open to applicants from all backgrounds; growth opportunities available.
The predicted salary is between 44000 - 48000 £ per year.
Join to apply for the Senior Data Analytics Engineer role at JLR.
REQ ID: 129276
SALARY: £51,000 - £56,000
POSTING START DATE: 26/06/2025
POSTING END DATE: 09/07/2025
LOCATION: Coventry
In a commercial role at JLR, you can reimagine the future of modern luxury. In teams focused on extraordinary customer experience, sustainability and forward-thinking. You’ll work alongside strategically-minded problem-solvers supporting the transformation of our iconic house of brands – Range Rover, Defender, Discovery, and Jaguar – and our heritage-rich JLR Classic range. Becoming a proud creator of the exceptional starts here.
This is an amazing opportunity within Data Analytics where you truly can put your ideas out there and watch them become a reality as part of this highly innovative team. You will ideally come from a strong Data Analytics background and have strong levels of experience with GCP and Python. We are currently undergoing an ambitious transformation program that entails building a robust in-house analytics team to handle the integration, modelling, prediction and inference of all customer quality issues utilising the best-in-class data analytics and machine learning tools and methods. This new analytics team will be responsible for developing and delivering our analytics strategy, coordinating our in-house analytics capability and solving our most complex analytics problems. To do this we are assembling an expert multi-disciplinary team of analytics professionals from a wide range of backgrounds.
The role will require working within analytics project teams and with a wide range of functional business partners. You’ll focus on creating overall data & systems architecture to ensure business needs are met and Digital standards are maintained.
What To Expect
- Design, develop, and optimize scalable data pipelines, data models, and ETL processes while ensuring data quality and integrity.
- Partner with business stakeholders to translate business requirements into technical specifications and ensure alignment.
- Deliver financial value to the business through analytics projects and enablement of future technologies such as GenAI & IoT.
- Manage projects/tasks using Agile/DevOps development methodologies.
- Define and implement efficient, scalable, and secure data architectures to support analytics and business needs.
What You'll Need
- Excellent communication and stakeholder management skills.
- Previous experience of working with Python and GCP.
- Experience of refactoring prototype data pipeline designs for scaling and regular execution.
- Understands query optimisation, efficient code design, version control and collaborative development.
The 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 and lease scheme (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 and optional private medical cover.
- 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.
- Flexible working.
Creating Modern Luxury requires a modern approach to work. At JLR, hybrid working is a voluntary, non-contractual arrangement providing employees more choice and flexibility around how, when and where they work. Some roles require more on-site work, but details of this can be discussed with the hiring manager during the interview stage.
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 Analytics Engineer employer: JLR
Contact Detail:
JLR Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analytics Engineer
✨Tip Number 1
Familiarise yourself with JLR's brand values and current projects. Understanding their focus on customer experience and sustainability will help you align your skills and experiences with their goals during discussions.
✨Tip Number 2
Network with current or former employees of JLR, especially those in data analytics roles. They can provide valuable insights into the company culture and expectations, which can be beneficial for your interview preparation.
✨Tip Number 3
Brush up on your knowledge of GCP and Python, focusing on practical applications relevant to data analytics. Be prepared to discuss specific projects where you've successfully implemented these technologies.
✨Tip Number 4
Prepare to demonstrate your understanding of Agile and DevOps methodologies. Think of examples from your past work where you've effectively managed projects or collaborated within a team using these approaches.
We think you need these skills to ace Senior Data Analytics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and GCP, as these are crucial for the Senior Data Analytics Engineer role. Use specific examples of projects where you've designed data pipelines or optimised ETL processes.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data analytics and how you can contribute to JLR's transformation programme. Mention your ability to work in Agile/DevOps environments and your experience in stakeholder management.
Showcase Relevant Projects: Include a section in your application that showcases relevant projects you've worked on. Detail your role, the technologies used, and the impact of your work, especially in areas like query optimisation and data architecture.
Highlight Soft Skills: Don't forget to mention your communication skills and ability to manage stakeholders effectively. These soft skills are just as important as technical expertise in this role, so provide examples of how you've successfully collaborated with others.
How to prepare for a job interview at JLR
✨Showcase Your Technical Skills
Make sure to highlight your experience with Python and GCP during the interview. Be prepared to discuss specific projects where you've used these technologies, focusing on how you optimised data pipelines or improved data quality.
✨Understand the Business Context
Familiarise yourself with JLR's brands and their focus on customer experience and sustainability. Demonstrating an understanding of how your role as a Senior Data Analytics Engineer can contribute to these goals will impress your interviewers.
✨Prepare for Agile Methodologies
Since the role involves managing projects using Agile/DevOps methodologies, be ready to discuss your experience with these approaches. Share examples of how you've successfully collaborated in cross-functional teams to deliver analytics projects.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, ongoing projects, and the future direction of the analytics strategy at JLR. This shows your genuine interest in the role and helps you assess if it's the right fit for you.