Data Engineer, Supply Chain

Position Overview The Data Engineer, Supply Chain will develop data, analytics and digital solutions for POET's supply-chain and manufacturing operations, including planning systems, operational dashboards, automation and data products. Job

Develop data pipelines and analytical datasets for demand, supply, inventory, capacity, procurement and production planning. Integrate data from ERP, manufacturing systems, suppliers, external partners and other sources. Build and maintain data models for supply-chain reporting and planning applications, including Advanced Planning System (APS) capabilities.

Develop Python and SQL solutions to automate data processing, analysis and operational workflows. Build analytics and dashboards in Power BI, Tableau or similar tools covering demand-supply balancing, inventory, capacity, production, supply risk and delivery performance. Work with planners and operational teams in Penang and Singapore to translate requirements into scalable data solutions.

Support API development and integration between enterprise systems. Perform data validation, reconciliation and root-cause analysis, and maintain documentation in line with established coding, testing and deployment practices.

Bachelor's degree in Computer Science, Data Science, Engineering, Supply Chain, Industrial Engineering or a related discipline. 2–4 years of relevant experience in data engineering, supply-chain or manufacturing analytics, or software development.