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Salary not available. View on company website.
Careers Jaguar Land Rover, Draper's Fields, Coventry
- Onsite working
- Full time
- Permanent
Posted 1 day ago, 22 Jul
Job ref: d8104a7dc99941909de2bc3a34b97a66
Full Job Description
JLR
Senior Data Engineer
In this role, no two tasks are the same. With lots of projects and relationships to build with people across the business and beyond, it's a challenge that will help your career grow within an iconic organisation. Here's what to expect:
- Use AI and data science to identify, analyse, and anticipate customer quality issues from diverse sources such as warranty, manufacturing, and connected car data.
- Join a pioneering team within Customer Care Quality (CCQ) to transform vehicle quality using AI and data science, enhancing the modern luxury customer experience.
- Work with diverse datasets to detect, understand, and resolve customer issues proactively.
- Play a key role in accelerating issue detection, deepening insights, and speeding up resolution through advanced data engineering and analytics.
- Partner with analytics experts and cross-functional teams to deliver impactful solutions that improve product quality and customer satisfaction.
Ideal for a self-motivated problem-solver with a passion for continuous learning and adaptability in a fast-evolving automotive landscape.
Location: Coventry - Hybrid
Along with your ambition to achieve the exceptional, there are several skills that you'll need to have to help you succeed here, including:
- Experience in data engineering or data architecture.
- Experience in building and maintaining data pipelines.
- Experience with at least one major Cloud-based platform (GCP, AWS, Azure).
- Understanding of cloud-native practices and containerisation.
- Strong understanding of at least one programming language (e.g. Python) in a data engineering context.
Salary: £50,100 - £60,000
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 (offered for specific roles depending on responsibilities).
Automotive
#s1-Gen
In this role, no two tasks are the same. With lots of projects and relationships to build with people across the business and beyond, it's a challenge that will help your career grow within an iconic organisation. Here's what to expect: Use AI and data science to identify, analyse, and anticipate customer quality issues from diverse sources such as warranty, manufacturing, and connected car data Join a pioneering team within Customer Care Quality (CCQ) to transform vehicle quality using AI and data science, enhancing the modern luxury customer experience Work with diverse datasets to detect, understand, and resolve customer issues proactively Play a key role in accelerating issue detection, deepening insights, and speeding up resolution through advanced data engineering and analytics Partner with analytics experts and cross-functional teams to deliver impactful solutions that improve product quality and customer satisfaction Ideal for a self-motivated problem-solver with a passion for
continuous learning and adaptability in a fast-evolving automotive landscape, Along with your ambition to achieve the exceptional, there are several skills that you'll need to have to help you succeed here, including: Experience in data engineering or data architecture Experience in building and maintaining data pipelines Experience with at least one major Cloud-based platform (GCP, AWS, Azure) Understanding of cloud-native practices and containerisation Strong understanding of at least one programming language (e.g. Python) in a data engineering context
