Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and optimise data pipelines while collaborating with teams to solve complex problems.
- Company: Join JLR, a leader in luxury automotive innovation, focused on sustainability and customer experience.
- Benefits: Enjoy flexible working, competitive pay, training funding, and discounts on car purchases.
- Why this job: Be part of an innovative team shaping the future of iconic brands with cutting-edge technology.
- Qualifications: Strong background in Data Analytics, Python, and GCP required; excellent communication skills essential.
- Other info: JLR values diversity and encourages applicants from all backgrounds to apply.
The predicted salary is between 44000 - 56000 £ per year.
In a commercial role at JLR, you can reimagine the future of modern luxury. Join teams focused on customer experience, sustainability, and innovation. Collaborate with problem-solvers to support the transformation of our iconic brands – Range Rover, Defender, Discovery, Jaguar, and JLR Classic. Become a creator of the exceptional. This is a unique opportunity in Data Analytics to bring your ideas to life within an innovative team.
Ideal candidates will have a strong Data Analytics background with experience in GCP and Python. We are building an in-house analytics team to handle data integration, modeling, prediction, and inference related to customer quality issues, using top-tier data analytics and machine learning tools. The team will develop and execute our analytics strategy, coordinate capabilities, and solve complex problems by assembling a multidisciplinary team of analytics professionals. The role involves working within project teams and with various business partners, focusing on creating data and systems architecture to meet business needs and maintain digital standards.
What to Expect
- Design, develop, and optimize scalable data pipelines, models, and ETL processes, ensuring data quality
- Collaborate with stakeholders to translate business requirements into technical specifications
- Deliver financial value through analytics projects and enable future technologies like GenAI & IoT
- Manage projects using Agile/DevOps methodologies
- Implement efficient, scalable, and secure data architectures
What You'll Need
- Excellent communication and stakeholder management skills
- Experience with Python and GCP
- Experience refactoring prototype data pipelines for scaling
- Knowledge of query optimization, efficient coding, version control, and collaborative development
The Benefits
- Discounted car purchase and lease scheme
- Generous parental leave policies
- Competitive pension and private medical cover
- Company performance bonus
- Funding for education and training
- Support and social networks
- Flexible working arrangements
JLR promotes a modern approach to work with hybrid options. Some roles may require on-site work, which can be discussed during the interview. We foster an inclusive culture and accommodate reasonable adjustments during recruitment. Applicants from all backgrounds are encouraged to apply, and we support growth and development within roles. JLR is committed to equal opportunity.
Senior Data Analytics Engineer employer: Jaguar Land Rover
Contact Detail:
Jaguar Land Rover Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analytics Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in data analytics, especially focusing on GCP and Python. Being able to discuss recent advancements or projects you've worked on can really impress during interviews.
✨Tip Number 2
Network with professionals in the data analytics field, particularly those who work at JLR or similar companies. Engaging with them on platforms like LinkedIn can provide insights into the company culture and expectations.
✨Tip Number 3
Prepare to showcase your problem-solving skills by thinking of specific examples where you've successfully tackled complex data challenges. This will demonstrate your ability to contribute to the innovative team at JLR.
✨Tip Number 4
Understand Agile and DevOps methodologies as they are crucial for this role. Being able to articulate how you've applied these practices in past projects will show that you're a great fit for their dynamic environment.
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 Data Analytics, GCP, and Python. Use specific examples that demonstrate your skills in designing data pipelines and collaborating with stakeholders.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data analytics and how it aligns with JLR's focus on innovation and customer experience. Mention any relevant projects or achievements that showcase your ability to deliver financial value through analytics.
Showcase Your Technical Skills: Clearly outline your technical skills related to data architecture, ETL processes, and Agile/DevOps methodologies. Provide examples of how you've implemented these skills in previous roles to solve complex problems.
Prepare for the Interview: Research JLR's values and recent projects in data analytics. Be ready to discuss how you can contribute to their analytics strategy and collaborate effectively with multidisciplinary teams.
How to prepare for a job interview at Jaguar Land Rover
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and GCP in detail. Bring examples of projects where you've designed and optimised data pipelines or implemented ETL processes, as this will demonstrate your hands-on expertise.
✨Understand the Business Context
Research JLR's brands and their focus on customer experience and sustainability. Be ready to explain how your analytics work can contribute to these areas, showing that you understand the bigger picture beyond just the technical aspects.
✨Emphasise Collaboration
Since the role involves working with various stakeholders, highlight your communication and stakeholder management skills. Share examples of how you've successfully collaborated with teams to translate business requirements into technical solutions.
✨Familiarise Yourself with Agile/DevOps Methodologies
As the role requires managing projects using Agile/DevOps, brush up on these methodologies. Be ready to discuss how you've applied them in past projects, which will show your adaptability and understanding of modern project management practices.
