Senior Data Analytics Engineer

J.P. MORGAN; Coventry; On-site; GBP 51,000 - 56,000; Full time

Job summary

A leading company is seeking a Senior Data Analytics Engineer to join its innovative team in Coventry. The role involves designing data pipelines, enhancing analytics capabilities, and collaborating across business units to drive data-driven solutions. Ideal candidates should have strong skills in Python and GCP, as well as excellent stakeholder management abilities. This position offers an opportunity for career growth and participation in an exciting transformation project.

Benefits

Discounted car purchase and lease schemes

Parental leave policies

Competitive pension and private medical cover

Performance-related bonus

Funding for education and training

Access to support and social networks

Flexible working arrangements

Qualifications

• Experience with Python and GCP is crucial.
• Excellent communication and stakeholder management skills required.
• Experience in refactoring data pipelines for scaling is needed.

Responsibilities

• Design and optimize scalable data pipelines and models.
• Collaborate with stakeholders to translate business requirements into technical solutions.
• Manage projects using Agile/DevOps methodologies.

Skills

Data Analytics

Python

GCP

Stakeholder Management

Agile

DevOps

Job description

REQ ID: 129276

JOB TITLE: Senior Data Analytics Engineer

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. Join teams focused on extraordinary customer experience, sustainability, and innovation. Work alongside strategically-minded problem-solvers supporting the transformation of our iconic brands – Range Rover, Defender, Discovery, Jaguar, and JLR Classic. Becoming a proud creator of the exceptional starts here.

This is an exciting opportunity within Data Analytics, where you can implement your ideas and see them come to life as part of a highly innovative team. Ideally, you will have a strong Data Analytics background with experience in GCP and Python. We are undergoing an ambitious transformation to build a robust in-house analytics team responsible for integration, modeling, prediction, and inference of customer quality issues using top-tier data analytics and machine learning tools. This team will develop and execute our analytics strategy, enhance our analytics capabilities, and solve complex problems. We are assembling a multidisciplinary team of analytics professionals from diverse backgrounds.

The role involves collaborating within analytics project teams and with various business partners. You will focus on creating data and systems architecture to meet business needs and maintain digital standards.

WHAT TO EXPECT

In this role, no two tasks are the same. You'll manage multiple projects and build relationships across the business, offering career growth within an iconic organization. Key responsibilities include:

• Designing, developing, and optimizing scalable data pipelines, models, and ETL processes, ensuring data quality and integrity
• Partnering with stakeholders to translate requirements into technical solutions
• Delivering financial value through analytics projects and enabling future technologies like GenAI & IoT
• Managing projects using Agile/DevOps methodologies
• Defining and implementing scalable, secure data architectures

WHAT YOU'LL NEED

To succeed, you should have:

• Excellent communication and stakeholder management skills
• Experience with Python and GCP
• Experience refactoring prototype data pipelines for scaling and automation
• Knowledge of query optimization, efficient coding, version control, and collaborative development

THE BENEFITS

Beyond our core offerings, you'll enjoy:

• Discounted car purchase and lease schemes (including family members)
• Parental leave policies, including 52-week maternity and 4-week paternity leave
• Competitive pension and private medical cover
• Performance-related bonus
• Funding for education and training through our employee learning scheme
• Access to support and social networks
• Flexible working arrangements

At JLR, hybrid working is voluntary and flexible, with some roles requiring on-site presence. Details 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. We believe in growth and development within roles, making living the exceptional with soul possible.

JLR is committed to equal opportunity for all.