Tech – Software Engineer: Public Statistics Platform

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Role

Software Engineer

Division

Economic & National Development

Level

Undergraduate, Polytechnic Student, Post-Diploma

Internship Duration

6 months, 12 months

Project Description

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An AI-powered public data platform that makes complex manpower statistics easier to discover, understand and interact with. Interns will work with generative AI, data visualisation and modern web technologies to create engaging experiences that help users turn data into meaningful insights.

Learning Outcomes

- AI & Generative AI: Gain hands-on exposure to integrating AI and LLM technologies into real-world digital products and services. - Full-Stack Development: Build and enhance modern frontend and backend applications used in real-world public sector environments. - Cloud & DevOps: Gain practical experience with cloud platforms, containers, CI/CD pipelines and modern deployment practices. - API & System Integration: Learn how to design scalable APIs and integrate multiple systems to build end-to-end digital solutions. - Real-World Software Engineering: Experience working in an Agile engineering team, including Git, code reviews, automated testing, debugging and production delivery.

Prerequisites

- Proficient in at least one programming language such as JavaScript/TypeScript, Java, Python or similar. - Basic understanding of web development, including HTTP, REST APIs and frontend/backend concepts. - Basic knowledge of AWS cloud services will be required. - Comfortable using Git and working with an existing codebase. - Good problem-solving and communication skills, with a willingness to learn and work collaboratively.