Data Engineering Intern

rednote; Singapore; On-site; SGD 11,000 - 18,000; Part time

Job summary

rednote is offering a regular internship for current Singapore university students. The internship is project-based and lasts three months or longer, with opportunities to join the International Data Warehouse Team in designing, building, and maintaining data platforms.

You will collaborate with product managers, data scientists/analysts, software and ML engineers, and other stakeholders to understand data needs and deliver data solutions.

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.

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.

Skills

Mandarin Chinese

Strong communication

Team collaboration

Education

Bachelor’s degree or above in computing or related field

Tools

SQL

Python

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.