The NTU education strategy 2025 is leveraging learning analytics to improve teaching and learning. This data engineer position would be critical in ensuring that we are able to achieve our learning analytics strategies and milestones on time.

The role will report to Head of Applications of Teaching and Learning Analytics for Students (ATLAS@NTU) under the Institute for Pedagogical Innovation, Research & Excellence (InsPIRE) and dotted line to Centre for IT Services (CITS) - InfraComm Infrastructure. The incumbent is responsible for supporting the learning analytics efforts at the university. The candidate plays an instrumental role in building an educational data hub with Denodo and the implementation of a new platform to manage machine leaning models.

Key Responsibilities:

• Propose effective ways to continuously enhance data quality, governance and performance of educational data hub and data science machine learning platform.
• Deploy, fine-tune and maintain Learning Analytics models
• Review the development of Learning Analytics models
• Manage the education data hub that is based on Denodo
• Address technical issues relating to the education data hub, dashboards and applications
• Organise learning analytics ethics committee meetings
• Involve in planning activities within InsPIRE and CITS.

Requirements:

• At least a bachelor's in computer science, software or computer engineering, applied math, physics, statistics, or a related field.
• At least 7 years of work experience, including at least 5 years in of technical experience in data virtualisation, data science platform, Cloud AI/ML technologies and data governance.
• Certification in any analytic platform (such as Azure, AWS, Denodo, etc.) would be a bonus.
• Proactive in identifying gaps and proposing solutions
• Team player (willing to collaborate with others in their work, learn on the job, and support other cross department initiatives when needed)

Hiring Institution: NTU