Global Operations Data Platform Engineer: AI-Ready & Cloud

Agilent Technologies; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Agilent Technologies in Singapore seeks a Global Operations Data Engineer to design and maintain enterprise data platforms that power digital manufacturing. You will build scalable data pipelines, enable AI-ready data assets, and implement governance across global operations.

The role partners with Data Architects, AI/Data Scientists, and Manufacturing engineers to support analytics, AI, Digital Twin solutions, and enterprise reporting.

Qualifications

• Bachelor's or Master's in Computer Science, Data Engineering, or related field.
• Experience building scalable data pipelines and cloud-based data solutions.
• Strong programming in Python and SQL with data modeling knowledge.

Responsibilities

• Design, develop and maintain scalable enterprise data pipelines across multiple domains.
• Develop cloud-native data solutions and reusable data products.
• Implement data governance, data quality, lineage, and metadata practices.
• Collaborate with AI & Data Scientists, Software Engineers, and stakeholders.

Skills

Python

SQL

Data pipelines

Cloud platforms

APIs

ETL/ELT

Spark

CI/CD

Data governance

Education

Bachelor's degree in CS/Engineering/Data Engineering

Master's degree (preferred)

Tools

Python

SQL

Apache Spark

dbt

Azure

AWS

Snowflake

REST APIs

Kafka

Data Factory

Job description

Agilent Technologies in Singapore seeks a Global Operations Data Engineer to design and maintain enterprise data platforms that power digital manufacturing. You will build scalable data pipelines, enable AI-ready data assets, and implement governance across global operations.

The role partners with Data Architects, AI/Data Scientists, and Manufacturing engineers to support analytics, AI, Digital Twin solutions, and enterprise reporting.