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