Tech – Software Engineer: Labour Market Data Platform

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Role

Software Engineer

Division

Economic & National Development

Level

Post-Diploma, Polytechnic Student, Undergraduate

Internship Duration

6 months, 12 months

Project Description

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An AI-ready cloud data platform that transforms large volumes of raw data into trusted, analysis-ready datasets for advanced analytics and intelligent applications. Interns will work with cloud technologies, data engineering and automated pipelines while gaining exposure to how large-scale data can power AI and data-driven decision making.

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.