AI-Ready Global Operations Data Engineer

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

Job summary

Agilent is seeking a Global Operations Data Engineer to design and maintain the enterprise data platform powering digital manufacturing. You will build scalable data pipelines, implement governance, and create reusable data products for analytics and AI across Agilent's global operations.

Work across teams to connect data from ERP, MES, Quality, and OT/IIoT systems, enabling trusted insights and enterprise reporting while supporting Digital Twin and Smart Factory initiatives.

Responsibilities

• Design, develop, and maintain scalable enterprise data pipelines integrating data from Manufacturing, Supply Chain, ERP, MES, and IoT.
• Build reusable data products and curated datasets that support enterprise reporting, analytics, AI applications, and digital products.
• Develop cloud-native data solutions that enable secure, scalable access to operational data.
• Optimize data processing, storage, and orchestration for reliability and scalability.
• Develop and maintain ETL/ELT pipelines for enterprise and operational systems.
• Design APIs and integration services enabling seamless data exchange across enterprise apps.
• Implement batch, streaming, and event-driven data processing architectures.
• Collaborate with Software Engineers to expose trusted data through APIs and enterprise services.
• Support enterprise integration across SAP, MES, PLM, Quality Systems, cloud platforms, and OT.
• Implement enterprise data governance standards and best practices defined by the Data Architecture team.
• Develop automated data quality validation, monitoring, reconciliation, and exception handling processes.
• Maintain enterprise metadata, data lineage, and catalog information to improve discoverability and traceability.
• Support MDM initiatives ensuring data consistency across business data.
• Monitor data quality metrics and resolve data integrity issues.
• Collaborate with stakeholders to identify Critical Data Elements (CDEs).
• Promote governance practices that keep data accurate, secure, and fit for business use.
• Prepare and maintain AI-ready datasets supporting Machine Learning and advanced analytics.
• Collaborate with AI & Data Scientists to develop features for ML models.

Job description

Agilent is seeking a Global Operations Data Engineer to design and maintain the enterprise data platform powering digital manufacturing. You will build scalable data pipelines, implement governance, and create reusable data products for analytics and AI across Agilent's global operations.

Work across teams to connect data from ERP, MES, Quality, and OT/IIoT systems, enabling trusted insights and enterprise reporting while supporting Digital Twin and Smart Factory initiatives.