Lead Data Engineer: On-Prem Pipelines for AI Manufacturing

innowave tech pte. ltd.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salary

Career growth opportunities

Dynamic, innovative environment

Job summary

Innowave Tech Singapore seeks a Senior Data Engineer to establish and lead our data infrastructure, building a robust data engineering practice for industrial AI applications in semiconductor manufacturing.

You will design data pipelines handling process, sensor, image, and annotation data, while enforcing governance and secure access controls. This is a foundational role shaping our data platform and AI readiness.

Qualifications

• Minimum a Poly or Bachelor degree in Computer Science, Engineering, or related field.
• 3+ years in data engineering, preferably with on-premises or hybrid infra.
• Proficiency in Python and/or Java for data pipelines.
• Experience with ETL frameworks (Airflow, Dagster) and streaming systems (Kafka).
• Experience with SQL/NoSQL databases, data lakes, and data catalog.

Responsibilities

• Select and manage on-premises technologies suitable for secure and efficient operations.
• Build robust pipelines to collect, clean, and transform diverse datasets (process, sensor, image, annotations).
• Ensure secure, maintainable, and scalable deployment of data infrastructure.
• Define and enforce best practices in data governance, privacy, and access control.
• Collaboration & Deployment.

Skills

Data engineering

Python/Java

ETL pipelines

Data governance

Problem solving

Collaboration

Education

Poly or Bachelor Degree in CS/Engineering

Tools

Airflow

Dagster

Kafka

SQL

NoSQL

Docker

Git

CI/CD

Data lakes

Data catalog

Job description

Innowave Tech Singapore seeks a Senior Data Engineer to establish and lead our data infrastructure, building a robust data engineering practice for industrial AI applications in semiconductor manufacturing.

You will design data pipelines handling process, sensor, image, and annotation data, while enforcing governance and secure access controls. This is a foundational role shaping our data platform and AI readiness.