Data Engineer, Supply Chain

POET Technologies · Supply Chain · AI Chips & Accelerators · Python · SQL · Tableau · Power BI · ETL/ELT · 2 days ago
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Location
In office (George Town)
Experience
2+ years exp
Employment
Full-Time

First seen by Alion on Oct 27, 2026.

Overview
Company
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Profile match

POET Technologies

Explore POET Technologies’ innovative opto-electronic solutions driving the future of AI and telecommunications.
poet-technologies.com · George Town · UTC+08:00 · AI Chips & Accelerators · Optics & Photonic Components · 51-200 employees
Tech stack of POET Technologies

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.

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