Data Engineer, Supply Chain

Poet Technologies Pte Ltd; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Poet Technologies Pte Ltd seeks a Data Engineer, Supply Chain to develop data, analytics and digital solutions for our supply-chain and manufacturing operations, including planning systems, operational dashboards, automation and data products.

You will build data pipelines, integrate ERP/MES/APS data, create Python/SQL solutions and dashboards with Power BI or Tableau, and collaborate with planners in Penang and Singapore to deliver scalable data solutions across the network.

Qualifications

• 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.

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.

Skills

Python

SQL

Data modelling

ETL/data pipelines

Data warehousing

Education

Bachelor's degree (CS/Data Science/Engineering/Supply Chain/Industrial Engineering or related)

Tools

Power BI

Tableau

Job description

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.