JD Star Graduate Data Engineer

Description

Contract Type: Graduate Role, Full Time, On-site, (London, SW1)

Start Date: January, 2026

Who We Are

At JD.com, also known as JINGDONG, we are building one of the world’s most trusted technology and supply chain ecosystems. What began as a bold idea in China has grown into a global business serving more than 700 million active customers. Powered by advanced logistics, innovative technology, and a commitment to integrity, JD.com operates across retail, logistics, technology, property, and more, creating solutions that make everyday life smarter, faster, and more connected.

Our Global Reach

JD.com is expanding its international footprint through a digitally intelligent, cross-border supply chain and world-class logistics network, supported by platforms such as Joybuy, which brings JD.com’s trusted products to customers worldwide. You’ll join teams that work across China, the U.S., U.K., Netherlands, France, Germany, Spain, Brazil, Hungary, Japan, South Korea, Australia, Thailand, Vietnam, Malaysia, Indonesia, Saudi Arabia, the UAE, and beyond, giving you the chance to learn from and contribute to global projects from day one.

About The Team

You’ll be joining our JD Star Graduate Pathway, designed to give early-career talent hands-on experience as a Data Engineer working in our new Technology Centre in London, supporting the building and improvement of our Retail Platforms. We value curiosity, collaboration, and the confidence to take ownership in a fast-moving environment, helping you build real skills and make a real impact from day one.

Responsibilities

• Responsible for the architecture design and modeling of the company's data warehouse.
• Organize data warehouse development, perform data mining based on the data warehouse to discover patterns in data, or apply and build mathematical algorithms to uncover data insights.
• Conduct in-depth data mining leveraging massive data resources to empower rapid business growth and maximize data value.
• Understand business requirements, establish reliable data collection, distribution, and processing platforms, and participate in the design and development of offline/real-time data warehouses and pipelines.

About You

We're looking for the brightest of minds to join our Tech Engineering team, here's who we're looking for:

• Master’s degree or above in related academic area. Exceptionally qualified undergraduate candidates may also be considered.
• Passionate about big data processing and related technologies, with the initiative to follow the latest technological advancements.
• Solid foundation in computer science fundamentals, programming, and data structures. Familiar with big data components such as Flink, Spark, Kafka, Redis, HDFS, Storm, etc. Familiar with the Hadoop ecosystem, including Hive, MapReduce, etc.

Preferred but not mandatory for this role:

• Eligibility to work in the UK full time - we welcome applications from domestic and international students.
• Chinese Mandarin language is always helpful when working in a Chinese business but this is not essential. Not speaking Mandarin will not be of detriment to your application.

What We Offer

We believe great ideas can come from anywhere, and often, they come from you. At JD.com, you’ll be part of a team where your perspective matters and your contributions drive real progress. You’ll work on meaningful, high-impact projects, learn from talented colleagues across our global network, and grow in an environment that champions curiosity, collaboration, and continuous learning.

Core Benefits

• Permanent role from day 1
• Access to structured technical and soft skill learning plus a mentor to support your transition into JD Technology
• Highly competitive salary and benefits package
• Performance-related bonus
• Lunch allowance per day (Free Lunch!)
• Progression opportunities in the UK and internationally across the JD Group

At JD.com, we are committed to creating an inclusive workplace where every voice counts and every talent belongs. We are proud to be an equal opportunity employer. All employment decisions are made without regard to race, color, religion, gender identity, sexual orientation, national origin, disability, age, veteran status, or any legally protected characteristic.