Data Engineer

Jingdong Development France; Greater London; On-site; GBP 60,000 - 90,000; Full time

Job summary

JD.com, also known as JINGDONG, is seeking a Data Engineer to design, build, and maintain scalable data pipelines powering analytics and ML across international markets. You will collaborate with product managers, data scientists, and business stakeholders to ensure data availability, quality and security.

The role requires hands-on work with Spark/Hadoop/Flink, cloud platforms (AWS/GCP/Azure), and modern data warehousing tools, in a London-based onsite setting.

Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, or a related field.
• 3+ years of data engineering, big data infra, or large-scale ETL experience.
• Proficiency in SQL and programming languages such as Python, Java, or Scala.
• Hands-on experience with Spark, Hadoop, Flink and cloud platforms (AWS, GCP, or Azure).
• Familiarity with data warehouse technologies (Snowflake, Redshift, BigQuery) and orchestration tools (Airflow, Luigi).
• Strong knowledge of data security, compliance, and governance frameworks.
• Effective communication in English.

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 JD.com’s global operations.

Skills

SQL

Python

Java

Scala

Spark

Hadoop

Flink

AWS

GCP

Azure

Snowflake

Redshift

BigQuery

Airflow

Luigi

Data security

Data governance

English communication

Education

Bachelor’s degree in Computer Science, Data Engineering, or related field

Tools

Spark

Hadoop

Flink

Airflow

Luigi

Snowflake

Redshift

BigQuery

AWS

GCP

Azure

Job description

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 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, 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 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: https://corporate.jd.com/

What We Offer

Joining JD.com 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 JD.com team, which values collaboration, ownership, and a commitment to delivering high-quality results in a fast-paced, dynamic environment.

JD.com 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 JD.com’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, BigQuery) 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.

Equal Opportunity & Diversity

At JD.com, 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.