Data Integration Engineer
Our client is a leading organisation specializing in logistics, transportation, and supply chain solutions. They foster a dynamic and collaborative culture, emphasizing innovation and efficiency. This role involves designing, building, and maintaining data pipelines, developing data models, and supporting analytics initiatives crucial for operational excellence. The position is vital in ensuring reliable data flows and high-quality insights that support strategic decision-making across the organisation.
Role Overview:
The Data Integration Engineer will play a key role in developing and maintaining robust data pipelines, integrating diverse logistics systems, and enabling data-driven decision-making within the wider team. You will work closely with various business units to improve data visibility and reliability.
Key Skills & Experience:
• Proven experience in designing and maintaining ETL / ELT data pipelines, models, and data lakehouse or data warehouse solutions
• At least 4 years of relevant experience in data engineering, business intelligence, or data integration roles
• Strong SQL and Python skills for data extraction, transformation, and automation
• Experience supporting logistics, transportation, or supply chain data domains is highly preferred
• Familiarity with cloud platforms, orchestration tools, and BI/reporting tools is advantageous
• Understanding of data governance, security, and compliance practices
• Excellent analytical, problem-solving, and stakeholder management skills
• Effective communication skills in English and Chinese (Cantonese & Mandarin)
Key Responsibilities:
• Design, build, and maintain scalable ETL / ELT data pipelines for operational and enterprise data ingestion, transformation, and publication
• Integrate data from logistics-related platforms such as transportation, warehouse, carrier, freight audit, order management, and ERP systems into centralized data repositories
• Support system-to-system and API-based integrations for reliable data flow across applications
• Develop data models, schemas, and datasets to support business intelligence, dashboards, and KPIs
• Build data structures analyzing transportation performance, warehouse activity, inventory movement, and supply chain metrics
• Partner with analysts and business teams to translate reporting needs into reusable data products
• Implement data quality checks, validation rules, reconciliation logic, and monitoring controls
• Maintain documentation on data flows, lineage, and technical specifications
• Support operational teams by providing visibility into shipment, order, and performance data
• Troubleshoot data issues, optimize performance, and improve overall data environment reliability and scalability
Requirements:
• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Data Analytics, Engineering, or related field
• Minimum of 4 years of relevant experience in data engineering or related roles
• Proven hands-on experience with data pipelines, models, and data lakehouse; experience in logistics or supply chain domains is preferred
• Strong SQL and Python skills
• Familiarity with cloud platforms and orchestration tools is a plus
• Good understanding of data governance and security regulations
• Strong communication skills in English and Chinese (Cantonese & Mandarin)
• Ability to work effectively in an onsite environment
Ready to contribute your expertise to a forward-thinking organisation? Apply now to join our client’s team!
