Data Engineer

Innowave Tech Pte Ltd; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

Innowave Tech is seeking a Data Engineer to lead the establishment of a robust data infrastructure for AI applications in semiconductor manufacturing. The role involves building data systems, ensuring security, and collaborating with teams to implement best practices. This position offers a chance to work in cutting-edge AI projects with opportunities for career growth in a dynamic environment.

Benefits

Competitive salary and benefits package

Career growth opportunities

Dynamic and supportive work environment

Qualifications

• 3+ years of experience in data engineering roles.
• Proven track record of building scalable data systems.

Responsibilities

• Build robust pipelines to collect, clean, and transform diverse datasets.
• Define and enforce best practices in data governance and access control.

Skills

Python

Java

Communication

Problem Solving

Education

Poly or Bachelor Degree in Computer Science

Tools

Apache Airflow

Kafka

Docker

Git

Job description

About Innowave Tech Singapore

Innowave Tech is an Artificial Intelligence (AI) company offering solutions for the Semiconductor and Advanced Manufacturing industry. Utilizing deep industrial domain knowledge, proven experience, and innovation, we provide expert AI solutions and systems to address various industry pain points.

Roles & Responsibilities

We are seeking Data Engineer to establish and lead our data infrastructure. The successful candidate will be responsible for building our data engineering practice from the ground up, implementing robust data systems for industrial AI applications, and establishing best practices that will power our semiconductor manufacturing AI solutions.

Your Role and Impact

As our first Data Engineer, you will have a foundational role in building robust data infrastructure to handle manufacturing data and LLM applications, while establishing secure data practices that power our AI solutions for advanced manufacturing operations.

What You’ll Do

1. Select and manage on-premises technologies suitable for secure and efficient operations.

2. Build robust pipelines to collect, clean, and transform diverse datasets including process data, sensor data, image data, and human annotations.

3. Ensure secure, maintainable, and scalable deployment of data infrastructure.

4. Define and enforce best practices in data governance, privacy, and access control.

5. Collaboration & Deployment.

What We’re Looking For

Educational Background:

Minimum Poly or Bachelor Degree in Computer Science, Engineering, or a related field.

Technical Expertise:

• 3+ years of experience in data engineering roles, ideally with on-premises or hybrid infrastructure.

• Proven track record of building scalable data systems from ground up in a startup environment.

• Proficiency in Python and/or Java for data pipeline development.

• Solid experience with ETL frameworks (e.g., Apache Airflow, Dagster) and streaming systems (e.g., Kafka).

• Experience designing and maintaining SQL and NoSQL databases.

• Experience building and operating data lakes and data catalog.

• Familiarity with containerization (Docker), version control (Git), and CI/CD practices.

Soft Skills:

• Excellent communication skills and ability to collaborate with cross-functional technical and non-technical teams.

• Excellent problem-solving and debugging abilities.

• Ability to balance engineering tradeoffs.

Bonus Skills:

• Experience with manufacturing data systems, especially SPC, SCADA, and industrial sensor protocols (e.g., OPC UA, MQTT, Modbus).

• Familiarity with AI/ML pipelines and tools (e.g., MLflow).

• Knowledge in vector databases and LLM data infrastructure.

• Prior experience working in or with regulated industries (e.g., semiconductor, automotive, aerospace).

What we Offer

• A leading role in cutting-edge AI projects within the semiconductor industry.

• The opportunity to work with an learn from experts in the field of AI and data science.

• A dynamic, innovative, and supportive work environment.

• Competitive salary and benefits package.

• Career growth opportunities in a fast-paces technology company.