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# Data Engineer

- **Company:** JINGDONG RETAIL (UK) LIMITED
- **Location:** Paris, France
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Airflow, Amazon Web Services, Microsoft Azure, Big Data, BigQuery, Cloud Computing, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Security, Data Warehousing, Apache Hadoop, Python (Programming Language), Machine Learning, SQL Databases, Data Streaming, Data Storage Management, Snowflake, Apache Spark, Information Technology, Apache Flink, Luigi, Apache Kafka, Data Management, Machine Learning Operations, Data Pipelines, Amazon Redshift, Programming Languages
- **Published:** June 7, 2026
- **Apply:** https://fr.indeed.com/viewjob?jk=a8ecf5f4245b476c

## About the Role

Do you have a Bachelor's degree?, * 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., * 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.

## 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., * 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.


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