Senior Data & GenAI Platform Engineer

Nanyang Technological University Singapore; Singapore; On-site; SGD 140,000 - 180,000; Full time

Job summary

Nanyang Technological University Singapore is seeking a Senior Data Services & AI Engineer to join the Data Services team. You will design and operate data pipelines, analytics platforms, and GenAI components to enable data-driven decisions.

The role emphasizes hands-on development, collaboration with analysts and engineers, and governance of data and AI solutions across NTU. Senior guidance and learning opportunities are highlighted.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Engineering, or a related discipline.

Responsibilities

• Design, build, configure and maintain data pipelines, data platforms, and AI components based on approved architectures and standards.
• Implement analytics and Generative AI solutions following established patterns, security, and governance requirements.
• Contribute to project delivery across design, build, testing, deployment, and operational handover phases.
• Support production systems, including monitoring, troubleshooting, and incident resolution.
• Apply data governance, security, and privacy controls as defined in solution designs and policies.
• Work closely with data analysts, data scientists, engineers, and business users to clarify requirements and deliver solutions.
• Continuously develop technical skills and contribute improvement ideas to enhance platforms and processes.

Skills

Data engineering

AI/ML

GenAI

RAG

Prompt engineering

Education

Bachelor's degree in Computer Science, Data Science, Engineering, or related

Tools

Denodo

Snowflake

AWS

Azure

Google Cloud

Job description

Nanyang Technological University Singapore is seeking a Senior Data Services & AI Engineer to join the Data Services team. You will design and operate data pipelines, analytics platforms, and GenAI components to enable data-driven decisions.

The role emphasizes hands-on development, collaboration with analysts and engineers, and governance of data and AI solutions across NTU. Senior guidance and learning opportunities are highlighted.