Global Operations Data Engineer
Agilent · Yishun, Singapore
IT & SoftwareFull-timeCompany career page
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Role summary
Agilent seeks a Global Operations Data Engineer to design and maintain enterprise data platforms that transform operational data into AI-ready assets. The role involves building scalable data pipelines, implementing governance practices, and enabling a connected data ecosystem across global manufacturing operations.
What they're looking for
- Experience designing and developing enterprise data pipelines and ETL/ELT processes
- Proficiency with cloud-native data solutions and distributed data processing technologies
- Knowledge of data governance, metadata management, and data quality practices
- Familiarity with manufacturing systems, ERP, MES, or industrial IoT platforms
- Strong programming skills in data engineering tools and languages
- Experience with API design and enterprise integration patterns
What you'll be doing
- Design and develop scalable enterprise data pipelines integrating manufacturing and operational systems
- Build reusable data products and curated datasets supporting analytics, AI, and reporting
- Implement data governance standards, quality validation, and automated monitoring processes
- Prepare AI-ready datasets and collaborate with data scientists on feature engineering
- Monitor platform health, implement observability, and apply DevOps best practices
Privacy & handoff
This role links to Agilent's own application system. RoleLantern records your interest and checks the link, but the application happens on the employer's site and status updates may not come back to us. Clicking apply does not mark you as applied automatically.