Data Engineer

Location: Onsite in London, UK

Company

A global technology and supply chain enterprise operating across retail, logistics, technology, property, and international commerce.

What you will do

• Design and implement robust data pipelines and ETL processes for analytics, reporting, and machine learning model training.
• Build and optimize scalable data storage and retrieval systems for high-volume, multi-market datasets.
• Ensure data quality, consistency, security, and compliance with regulations such as GDPR.
• Collaborate with product managers, data scientists, and business stakeholders to deliver reliable datasets for experimentation and decision-making.
• Implement monitoring and automation to improve pipeline efficiency and minimize downtime.
• Contribute to the data infrastructure roadmap for global operations.

Requirements

• 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 Spark, Hadoop, or Flink and at least one cloud platform: AWS, GCP, or Azure.
• Familiarity with data warehouses such as Snowflake, Redshift, or BigQuery, and orchestration tools such as Airflow or Luigi.
• Effective communication in English is required; the role is onsite in London, UK.

Nice to have

• Experience with e-commerce or consumer-facing platforms.
• Experience building data platforms in cross-border or international environments.
• Familiarity with real-time streaming frameworks such as Kafka or Pulsar.
• Effective communication in Chinese.

Culture & Benefits

• Supportive, people-first culture focused on collaboration, ownership, and high-quality results.
• Competitive salary and a central London work location.
• Access to global projects and learning opportunities.
• Inclusive workplace where diverse perspectives are valued.