Company Overview
Every vehicle, every innovation, and every step forward in over 170 markets worldwide are made possible by the expertise, dedication, and ambition of our people.
While we take pride in our legacy, it’s the vision for our future that truly excites us. Across every part of our business, each individual plays a vital role in the ongoing evolution of JLR. With new products, state-of-the-art facilities, and continuous expansion into new markets, there has never been a more thrilling time to join us.
Known for our iconic vehicles, our pursuit of excellence extends far beyond premium design and world-class engineering. As a truly global company, we offer opportunities that match the scope of our reach. To explore more about our business areas and current roles, visit the JLR Linked Company pages. This is also where you can ask questions, share your experiences, and engage with other talented individuals considering joining us. We look forward to connecting with you.
About the Job
What to Expect
Join JLR as a Senior Data Engineer and play a pivotal role in driving our digital transformation!
In this role, you will be responsible for designing, managing, and engineering diverse data sets using state-of-the-art tools, ensuring seamless data integration across the organization. Your work will support our digital initiatives by guaranteeing the data is accurate, reliable, and delivered in a timely manner.
You will oversee the entire data architecture, including storage, pipelines, and platform interfaces. Additionally, you will manage the data layers for digital products, engage in requirements modelling, testing, and define the flow of data from input to storage, integrating with analytics tools or user-facing software.
Key Accountabilities and Responsibilities
- Design, create, test, and maintain data pipelines to support digital projects.
- Assemble complex datasets to support various applications and teams across the business.
- Identify, design, and implement process improvements in data pipelines—automating manual processes, improving scalability, reducing run time, and optimizing costs.
- Build infrastructure that ensures cost-effective, scalable, and robust data pipeline operations.
- Develop analytical tools and solutions that empower the business to make data-driven decisions and extract actionable insights.
- Translate business challenges into data analytics requirements, delivering value through data analysis, model development, and dynamic, data-driven solutions.
What You’ll Need
- Previous experience working in roles related to data analytics, software or application development, or database development.
- Proven experience in designing data models and data architecture.
- Expertise in creating and conducting tests, including unit testing, data quality testing, and assumption testing.
- Familiarity with modern programming languages and scripting languages, such as Python or Java.
- Experience with SQL development and relational or no-SQL databases.
- Experience with cloud platforms like Google Cloud Platform, AWS, or Azure.
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