BCE Data Engineering Chapter Lead

Jaguar Land Rover
Gaydon, England
19 months ago
Applications closed

Related Jobs

View all jobs
Spotlight

Machine Learning Engineer - National Security (Gloucestershire)

Mind Foundry Gloucester, Gloucestershire, United Kingdom
On-site Clearance Required
Spotlight

Senior ML Compiler Engineer

Fractile Bristol, United Kingdom
Posted
3 Nov 2024 (19 months ago)

Gaydon

Product Engineering at JLR is centred on innovation and creativity. From advanced driver assistance systems to developing the future of electric propulsion, the opportunities to create exceptional experiences for the future of motoring are wide-ranging. You'll work alongside industry experts to drive product strategy, manage programs, analyse performance, and lead transformation initiatives. Exceptional careers that bring world-renowned vehicles to life start here.

WHAT TO EXPECT

Be at the forefront of innovation at a Chapter Lead – Data Engineering, where you will lead a team of data engineers, drive the development and maintenance of our data infrastructure, and ensure the delivery of high-quality data solutions tailored to body chassis engineering.

This is part of our deliberate growth as department to be increasingly data driven and make the huge amounts of valuable data more discoverable and accessible.

This role requires a blend of technical expertise, leadership skills, and strategic thinking. This will not only involve supporting the squad(s) within Body Chassis Engineering but will be a key role in establishing the chapter and relevant solutions across the organisation.

Key Accountabilities and Responsibilities

Works with Chapter members to facilitate inputs into a Body of Knowledge as it relates to the Chapter, facilitating proper usage of standardised tools and methods. Develop BCE Strategic approach to Data Engineering, including both identification of future needs of the department and the technical capabilities and resource to support it Work with other areas of the business to ensure BCE needs are represented in future strategic developments Business wide use of loggers, changes to cloud services, data ingestion mechanism, cloud platform choices etc. Serves as a coach and advisor to squads, remaining close enough to stay connected to product development and the application of their Chapter, while maintaining distance to allow them to problem-solve on their own Responsible for facilitating performance management for a number of chapter members, defining and implementing effective development plans and holding continuous performance discussions throughout the year

WHAT YOU’LL NEED

Previous experience leading projects/teams in data engineering or digital data platform Previous experience and knowledge of applicable programming languages, scripts and databases Experience implementing cloud solutions on AWS platforms Experience with database architectures, ETL, big data and distributed storage technologies such as Amazon S3 Experience with dynamic resource management frameworks such as Kubernetes, Apache Spark

​​​​​​​

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.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Machine Learning Jobs UK 2026: What to Expect Over the Next 3 Years

Machine learning has undergone a transformation that few technology disciplines can match. In the space of three years it has moved from a specialism sitting at the edges of most organisations' technology strategies to a capability that sits at the centre of them. The tools have changed, the expectations have shifted, and the range of industries treating machine learning as a core business function — rather than an experimental one — has expanded dramatically. For job seekers, this creates both opportunity and complexity in roughly equal measure. The machine learning jobs market of 2026 is significantly larger than it was three years ago, but it is also significantly more demanding. Employers have developed more sophisticated expectations, the technical bar for specialist roles has risen, and the landscape of tools, frameworks, and architectural patterns that practitioners are expected to know has broadened considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what machine learning engineers and researchers are expected to build, and how the definition of a machine learning career is evolving beyond the model-building core toward a much wider range of roles across the full ML lifecycle. This article breaks down what the UK machine learning jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.