Data Engineer

POET Technologies Inc.; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

POET Technologies Inc. is seeking a Data Engineer to support the development of its enterprise data and digital transformation platform. You will work across data engineering, analytics, automation and application development with exposure to semiconductor manufacturing and supply-chain processes.

This role suits candidates who enjoy programming, problem solving and working with data, and who want to build broad expertise in data engineering and digital transformation across the business.”

Qualifications

• Degree in Computer Science or related field.
• 0–3 years of experience; strong technical skills welcome.
• Proficient in Python and SQL.
• Familiarity with BI tools and cloud platforms.
• Good communication and proactive learning mindset.
• Interest in supply chain, manufacturing or semiconductor operations is a plus.

Responsibilities

• Develop and maintain data pipelines using Python, SQL and modern data-engineering tools.
• Extract, transform and integrate data from databases, APIs, files, ERP and manufacturing systems.
• Support the development of enterprise data models and analytical datasets.
• Develop Python scripts, APIs and lightweight applications to automate business processes.
• Perform data validation, reconciliation and troubleshooting to ensure data accuracy and reliability.
• Build and maintain dashboards and reports using Power BI, Tableau or similar tools.
• Partner with business and cross-functional teams to translate requirements into technical solutions for supply-chain, manufacturing, operations and planning (APS) initiatives.
• Maintain technical documentation, source control and testing standards, and explore AI, machine learning and generative AI use cases where relevant.

Skills

Python programming

SQL

Data analysis

Communication

Problem solving

Education

Bachelor's degree in CS/DS/IS/Engineering

Tools

Power BI

Tableau

Git

APIs

Cloud platforms

Job description

The Data Engineer will support the development of POET's enterprise data and digital transformation platform, working across data engineering, analytics, automation and application development, with exposure to semiconductor manufacturing and supply-chain processes.

This role suits candidates who enjoy programming, problem solving and working with data, and who want to build broad expertise in data engineering and digital transformation.

Job Responsibilities

• Develop and maintain data pipelines using Python, SQL and modern data-engineering tools.
• Extract, transform and integrate data from databases, APIs, files, ERP and manufacturing systems.
• Support the development of enterprise data models and analytical datasets.
• Develop Python scripts, APIs and lightweight applications to automate business processes.
• Perform data validation, reconciliation and troubleshooting to ensure data accuracy and reliability.
• Build and maintain dashboards and reports using Power BI, Tableau or similar tools.
• Partner with business and cross-functional teams to translate requirements into technical solutions for supply-chain, manufacturing, operations and planning (APS) initiatives.
• Maintain technical documentation, source control and testing standards, and explore AI, machine learning and generative AI use cases where relevant.

Requirements

• Degree in Computer Science, Data Science, Information Systems, Engineering or a related discipline.
• 0-3 years of relevant experience; candidates without prior work experience but with strong technical skills are welcome to apply.
• Good programming skills in Python and working knowledge of SQL.
• Understanding of databases, data structures, software-development fundamentals and ETL/data-pipeline concepts.
• Strong analytical and problem-solving skills, good communication, and a proactive, ownership-oriented approach to learning new technologies.
• Exposure to Power BI, Tableau, cloud platforms, Git, APIs or machine learning, and interest in supply chain, manufacturing or semiconductor operations, are advantageous.