Data Engineer

JINGDONG RETAIL (UK) LIMITED; Greater London; On-site; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Competitive salary

Great location

People-first culture

Job summary

Jingdong Retail (UK) Limited is seeking a Data Engineer to design, build, and maintain scalable data pipelines and platforms that power analytics and ML systems. You will work with product managers, data scientists, and business stakeholders to ensure data availability, quality, and efficiency across markets.

This role is onsite in London and requires strong SQL and programming skills, plus experience with Spark, Hadoop, and cloud platforms.

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.

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

Airflow

Education

Bachelor's degree in CS/EE/related

Tools

AWS

GCP

Azure

Snowflake

Redshift

BigQuery

Job description

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.

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.

Work onsite in London, UK.

Benefits

Competitive salary, a great location, and a supportive, people‑first culture where your growth truly matters. Access to global projects, learning opportunities, and an inclusive environment that values every voice.

Equal Opportunity Statement

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.