Data Engineer, Supply Chain

POET TECHNOLOGIES PTE. LTD.

Singapore

Vor Ort

SGD 60.000 - 95.000

Vollzeit

Vor 3 Tagen
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Zusammenfassung

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

You will build data pipelines, integrate ERP/MES data, and create analytics for demand, supply, inventory, and capacity. Collaboration with planners in Penang and Singapore will translate requirements into scalable data solutions.

Qualifikationen

  • Bachelor's degree in CS/DS/Engineering or related field.
  • 2–4 years of data engineering or analytics experience.
  • Proficiency in Python, SQL, and data pipelines.

Aufgaben

  • Develop data pipelines and datasets for demand, supply, inventory, and planning.
  • Integrate data from ERP, MES, suppliers, and partners.
  • Build data models for reporting and APS capabilities.
  • Develop Python and SQL solutions to automate data processing and workflows.
  • Create dashboards in Power BI or Tableau for supply chain metrics.
  • Collaborate with planners in Penang and Singapore to translate requirements into scalable data solutions.
  • Support API development and integration between enterprise systems.
  • Perform data validation and root-cause analysis, and maintain code documentation.

Kenntnisse

Python
SQL
ETL pipelines
Data modeling
Analytics
Communication

Ausbildung

Bachelor's degree in CS/DS/Engineering

Tools

Power BI
Tableau
ERP systems
MES/APS

Jobbeschreibung

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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