Total 4 technology development job vacancies in Information Technology category in Singapore

1. Position Summary

We are looking for a Data Engineer to join our team and contribute to a major project within the semiconductor manufacturing domain. The role involves designing and implementing data pipelines, managing Oracle-based data environments, and supporting end-to-end BI processes — from data ingestion to visualization. This position is based on-site at our partner’s advanced manufacturing facility, offering hands-on exposure to large-scale industrial data systems.

2. Key Responsibilities

• Design, develop, and maintain Python-based applications and APIs to extract, transform, and deliver data in JSON format.
• Design and create robust data models to support efficient querying and reporting.
• Define relationships, hierarchies, and calculated columns/measures that align with business logic.
• Design, develop, and maintain data pipelines and ETL workflows for manufacturing data (ERP, MES, SPC, FDC, etc.).
• Implement and optimize database logic, including stored procedures, functions, and PL/SQL scripts.
• Build and manage staging schemas, data validation processes, and data transformation logic.
• Develop and maintain data marts and dimensional models to support analytics and reporting.
• Collaborate with BI developers and analysts to deliver Power BI dashboards, KPI reports, and visual analytics.
• Ensure data accuracy, consistency, and completeness across multiple source systems.
• Support data governance, documentation, and performance tuning efforts.
• Partner with internal and external stakeholders to ensure timely and high-quality data delivery for business use.
• Perform any ad-hoc duties assigned by the Company as and when required.

3. Qualifications& Skills

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field.
• Minimum 3 years of experience in data engineering, data integration, or BI development.
• Proficient in Python programming, specifically for data extraction, API development, and JSON data manipulation.
• Strong understanding of data warehousing concepts, schema design, and ETL best practices.
• Solid working experience with relational databases (e.g. Oracle, SQL Server, MySQL, PostgreSQL), including stored procedures and query optimization.
• Proficient with ETL tools such as Pentaho Kettle, Informatica, Talend, or similar.
• Experience developing reports and dashboards in Power BI (or Tableau/Qlik).
• Familiarity with SQL pipelines, data validation, and data replication tools.
• Strong analytical and problem-solving mindset with attention to data quality and performance.
• Ability to work collaboratively with business, IT, and engineering teams in fast-paced environments.
• Excellent documentation and communication skills.

4. Preferred /Additional

• Experience in semiconductor or manufacturing systems (ERP, MES, SPC, FDC) preferred.
• Exposure to data replication frameworks (Oracle Golden Gate, SharePlex, AWS Glue) is an advantage.
• Experience developing custom Python applications/APIs for data extraction and familiarity with JSON data structures is highly preferred.
• Familiarity with cloud-based data warehouses (Snowflake, Redshift, Synapse) and Giga Report is a plus
• Knowledge of data governance frameworks, metadata management, and data security best practices.

Position Summary

The Software Engineer will be responsible for supporting the design, development, deployment, and maintenance of automation solutions for smart factories / high-tech manufacturing lines. This role involves hands-on execution of automation tasks, integrating equipment with factory systems, troubleshooting connectivity issues, and collaborating with cross-functional teams to ensure solutions meet performance and quality goals.

Key Responsibilities

• Assist in gathering operational requirements and executing technical tasks to support automation solution scopes.
• Develop, test, and implement automation scripts, components, and software integrations to enhance system performance.
• Integrate and test vision-based and spatial-sensing components to support automated inspection and equipment monitoring.
• Write and maintain ETL pipelines to collect, transform, and integrate equipment and MES data into usable formats.
• Maintain software version control, track configurations, and document changes to ensure traceability across automation systems.
• Write database queries and assist in maintaining automation-related databases (monitoring, backup, and recovery procedures).
• Follow established data governance standards, access procedures, and life cycle management guidelines.
• Diagnose, troubleshoot, and resolve daily automation, equipment connectivity, and dataflow issues to minimize downtime.
• Collaborate with vendors and internal stakeholders to support the successful delivery and integration of automation projects.
• Research and test emerging automation, IIoT, and digital technologies under the guidance of senior team members.
• Perform any ad-hoc duties assigned by the Company as and when required.

3.      Qualifications & Skills

• Bachelor’s degree in Electrical, Electronics, Mechatronics, Mechanical Engineering, Computer Science, or a related discipline.
• 2 years of experience in equipment automation (ideally in semiconductor, solar, or electronics manufacturing).
• Working knowledge of equipment interface protocols (SECS/GEM OPC UA, Modbus, etc.).
• Hands-on experience diagnosing and troubleshooting hardware/software connectivity to equipment.
• Experience with PLCs, control systems, sensors, actuators, robotics.
• Proficiency in programming languages (C, C++, C#, Python, VB, Golang, Java, etc.).
• Basic understanding of MES / factory systems integration and IoT/ data connectivity.
• Familiarity with relational databases and writing basic SQL queries (Oracle, DB2, SQL,Postgresql, MySQL).
• Strong analytical, troubleshooting, and documentation skills.
• Good communication skills and ability to work well in a team.
• Willingness to travel between sites on project assignments.

4.      Preferred/Additional

• Experience in high-precision, contamination-controlled factory environments such as cleanroom / semiconductor / solar fabs.
• Exposure to AI / machine learning applications in automation
• Prior experience leading multi-site deployments
• Familiarity with Industry 4.0 frameworks                                         

Position Summary

As a Staff Software Engineer, you will lead the design and delivery of AI-driven solutions that enhance manufacturing efficiency and accelerate digital transformation, with a focus on Manufacturing Execution Systems (MES) for the semiconductor industry.

In this role, you will provide technical leadership across projects, drive system architecture and engineering best practices, and guide engineering teams in building scalable, high-performance systems. You will play a key role in shaping technical strategy, mentoring engineers, and ensuring the reliability and scalability of high-transaction manufacturing environments.

Key Responsibilities

• Lead the technical architecture and design of MES solutions and AI-driven applications to support semiconductor manufacturing operations.
• Translate complex business and manufacturing requirements into scalable system architectures, technical designs, and implementation roadmaps.
• Provide technical leadership across multiple projects or modules, ensuring alignment with engineering standards, best practices, and organizational goals.
• Design and oversee development of front-end and backend MES features, ensuring high quality, performance, and maintainability.
• Drive the adoption of CI/CD pipelines, automated testing, and DevOps best practices to improve development efficiency and system reliability.
• Lead system integration, performance optimization, and scalability improvements for high-throughput manufacturing environments.
• Guide the team in resolving complex technical challenges, conducting root-cause analysis, and implementing long-term solutions to improve system resilience.
• Establish and maintain technical documentation, architecture guidelines, runbooks, and operational procedures to ensure maintainability and auditability.
• Identify and manage technical and delivery risks, propose mitigation strategies, and provide recommendations to stakeholders.
• Drive initiatives to reduce technical debt and improve platform architecture, engineering standards, and development processes.
• Act as a key technical advisor and liaison between engineering teams, product stakeholders, delivery teams, and client SMEs to align technical solutions with business objectives.
• Mentor and coach engineers, supporting their technical growth and promoting knowledge sharing and best practices within the engineering team.
• Contribute to technology strategy, innovation initiatives, and continuous improvement efforts within the organization.
• Support production operations and incident management for critical systems when required.
• Perform any other duties assigned by the Company as and when required.

Qualifications & Skills

• At least a Degree in Computer Science, Software Engineering, or related discipline (or equivalent experience).
• Minimum 5 years of professional experience in full-stack Java development, preferably within the semiconductor manufacturing industry.
• Strong proficiency in Java technologies including Spring Boot, Spring MVC, JSF, Hibernate, and Object-Oriented Design (OOD).
• Experience with front-end frameworks such as React, Angular, or Vue.js, and core web technologies (HTML5, CSS3, JavaScript).
• Familiarity with RESTful API development and integration.
• Solid experience with SQL databases such as MySQL, PostgreSQL, Oracle, or DB2.
• Knowledge of version control systems like GIT.
• Demonstrates technical leadership and mentorship, owns delivery and operational reliability for assigned MES modules, enforces quality standards and test coverage, and proactively reduces technical debt while collaborating across Product and Delivery teams.
• Exposure to CI/CD pipelines and DevOps practices, and practical experience with automated testing (unit and integration).
• Familiarity with containerization and cloud deployment (Docker, Kubernetes, AWS/Azure) is a plus.
• Demonstrated experience in production support (incident RCA, MTTR reduction), monitoring, and runbook creation.
• Willingness to travel as needed.

Position Summary

The Software Engineer will be responsible for supporting the design, development, deployment, and maintenance of automation solutions for smart factories / high-tech manufacturing lines. This role involves hands-on execution of automation tasks, integrating equipment with factory systems, troubleshooting connectivity issues, and collaborating with cross-functional teams to ensure solutions meet performance and quality goals.

Key Responsibilities

• Assist in gathering operational requirements and executing technical tasks to support automation solution scopes.
• Develop, test, and implement automation scripts, components, and software integrations to enhance system performance.
• Integrate and test vision-based and spatial-sensing components to support automated inspection and equipment monitoring.
• Write and maintain ETL pipelines to collect, transform, and integrate equipment and MES data into usable formats.
• Maintain software version control, track configurations, and document changes to ensure traceability across automation systems.
• Write database queries and assist in maintaining automation-related databases (monitoring, backup, and recovery procedures).
• Follow established data governance standards, access procedures, and life cycle management guidelines.
• Diagnose, troubleshoot, and resolve daily automation, equipment connectivity, and dataflow issues to minimize downtime.
• Collaborate with vendors and internal stakeholders to support the successful delivery and integration of automation projects.
• Research and test emerging automation, IIoT, and digital technologies under the guidance of senior team members.
• Perform any ad-hoc duties assigned by the Company as and when required.

3.      Qualifications& Skills

• Bachelor’s degree in Electrical, Electronics, Mechatronics, Mechanical Engineering, Computer Science, or a related discipline.
• 3 years of experience in equipment automation (ideally in semiconductor, solar, or electronics manufacturing).
• Working knowledge of equipment interface protocols (SECS/GEM OPC UA, Modbus, etc.).
• Hands-on experience diagnosing and troubleshooting hardware/software connectivity to equipment.
• Experience with PLCs, control systems, sensors, actuators, robotics.
• Proficiency in programming languages (C, C++, C#, Python, VB,Golang, Java, etc.).
• Basic understanding of MES / factory systems integration and IoT/ data connectivity.
• Familiarity with relational databases and writing basic SQLqueries (Oracle, DB2, SQL, Postgresql, MySQL).
• Strong analytical, troubleshooting, and documentation skills.
• Good communication skills and ability to work well in a team.
• Willingness to travel between sites on project assignments.

4.      Preferred/ Additional

• Experience in high-precision, contamination-controlled factory environments such as cleanroom / semiconductor / solar fabs
• Exposure to AI / machine learning applications in automation
• Prior experience leading multi-site deployments
• Familiarity with Industry 4.0 frameworks