Supply Chain Data Engineer - Analytics & Automation

POET Technologies Inc.

Singapore

On-site

SGD 80,000 - 120,000

Full time

1 hour ago

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Job summary

POET Technologies Inc. is seeking a Data Engineer, Supply Chain to develop data, analytics and digital solutions for POET's supply-chain and manufacturing operations, including planning systems, dashboards, automation and data products.

You will build data pipelines, integrate ERP/MES/APS data, create data models, and develop Python/SQL solutions and dashboards in Power BI or Tableau, collaborating with planners in Penang and Singapore.

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.