rednote logo

    Data Engineering Intern

    rednote

    Singapore, SingaporeInternship14 Sept 2026

    About this internship

    Job Description Regular Internship: Open to all currently enrolled Singapore university students. Candidates who meet the position requirements will be offered project-based internship opportunities lasting three months or longer. About the Team As the International Data Warehouse Team, we are responsible for designing, building, and maintaining company-wide foundational data platforms and shared data layers. We provide general-purpose, reliable, and high-performance data capabilities to support core businesses such as social/community, e-commerce, and advertising, improving the overall efficiency of data-driven business operations. We work closely with different business domains and lead the development of domain-specific data warehouses and data products, providing accurate and easy-to-use data services and analytical models that directly support strategic decision-making and business operations. We establish and promote company-wide data governance frameworks by integrating business requirements, metadata management, and technical implementation. We continuously optimize data resource costs while improving data quality, consistency, security, and the reliability of data production. In our day-to-day work, we actively explore and apply the combination of AI and data to drive business growth. Responsibilities Work closely with product managers, data scientists/analysts, software and machine learning engineers, and other stakeholders to understand data requirements and deliver data solutions that meet business needs. Evaluate, implement, and maintain data infrastructure tools and technologies to support efficient data processing, storage, and querying. Design, build, and optimize scalable data pipelines to ingest, process, and transform large volumes of data. Design and implement insightful data visualization solutions for analytical reporting. Continuously optimize data pipelines, queries, and workflows to improve performance, reduce latency, and enhance scalability. Qualifications Currently pursuing a Bachelor’s degree or above, preferably in computing or a related field. Coursework or equivalent knowledge in SQL, Data Structures and Algorithms. Basic proficiency in at least one programming language. Proficiency in Mandarin Chinese, with the ability to communicate effectively in professional settings. Strong communication skills and the ability to collaborate effectively with cross-functional teams.