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 Responsibilities • 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. Requirements • 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. • Strong working knowledge of Python, SQL, databases, data modelling and ETL/data pipelines. • Understanding of supply-chain planning concepts; experience with ERP, MES, APS, Power BI or Tableau, or in semiconductor, electronics or manufacturing, is advantageous. • Strong analytical and problem-solving skills, with good communication and the ability to work with technical and business stakeholders.