Data Engineer

Location: City Of London

Who We Are At , also known as JINGDONG, we are building one of the world’s most trusted technology and supply chain ecosystems. What started as a bold idea in China has evolved into a NASDAQ-listed, Fortune 44 global enterprise serving over 700 million active customers. Powered by advanced logistics, innovative technology, and a commitment to integrity,  operates across retail, logistics, technology, property and more, creating solutions that make everyday life smarter, faster, and more connected.

Our Global  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 trusted products to customers worldwide. Today, our teams operate 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, reaching customers in every corner of the world.

Learn more about who we are and what we do:  We Offer Joining  means becoming part of a company where people, innovation, and impact go hand in hand. We offer a competitive salary, a great location, and a supportive, people-first culture where your growth truly matters. With access to global projects, learning opportunities, and an inclusive environment that values every voice, you’ll have the space to shape the future with us.

About The Team You’ll be joining the  team, which values collaboration, ownership, and a commitment to delivering high-quality results in a fast-paced, dynamic  is seeking a Data Engineer to design, build, and maintain scalable data pipelines and platforms that power our analytics and machine learning systems. You will work closely with product managers, data scientists, and business stakeholders to ensure data availability, quality, and efficiency across international markets.

This role requires strong technical expertise in big data processing, database management, and cloud platforms, with a keen eye for reliability and compliance in a global context.

Key Responsibilities:

Design and implement robust data pipelines and ETL processes to support analytics, reporting, and ML model training.

Build and optimize scalable data storage and retrieval systems to handle high-volume, multi-market datasets.

Ensure data quality, consistency, and compliance with regulations such as GDPR.Collaborate with data scientists and product teams to deliver reliable, well-structured datasets for experimentation and decision-making.

Implement monitoring and automation to improve pipeline efficiency and minimize downtime.

Contribute to the development of the overall data infrastructure roadmap for ’s global operations.

Work onsite in London, UK.

Qualifications:

Bachelor’s degree in Computer Science, Data Engineering, or a related field.
3+ years of experience in data engineering, big data infrastructure, or large-scale ETL development.

Proficiency in SQL and programming languages such as Python, Java, or Scala.

Hands-on experience with big data frameworks (e.g., Spark, Hadoop, Flink) and cloud platforms (AWS, GCP, or Azure).Familiarity with data warehouse technologies (e.g., Snowflake, Redshift, Big Query) and workflow orchestration tools (e.g., Airflow, Luigi).Strong knowledge of data security, compliance, and governance frameworks.

Effective communication in English.

Preferred Qualifications:

Experience in e-commerce or consumer-facing platforms.

Track record of building data platforms in cross-border or international contexts.

Familiarity with real-time streaming frameworks (e.g., Kafka, Pulsar).Effective communication in Chinese.

At , we’re committed to building a diverse and inclusive workplace where everyone can thrive. We’re proud to be an equal opportunity employer and make all employment decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, veteran status, or any other protected characteristic.

Ready to apply?

Take the next step in your career, apply now and explore the opportunities we have to offer.
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