Data Engineer Intern, Technology (Jan - Jun 2027)

Temasek Overview

Temasek is a global investment company headquartered in Singapore, with a net portfolio value of S$518 billion (US$401b, €350b, £304b, RMB2.77t) as at 31 March 2026. Our Purpose, “So Every Generation Prospers,” guides us to make a difference for today’s and future generations. We seek to build a resilient and forward-looking portfolio that will deliver good sustainable returns over the long term.

We have 13 offices in 9 countries around the world: Beijing, Hanoi, Mumbai, Shanghai, Shenzhen, and Singapore in Asia; and Brussels, London, Mexico City, New York, Paris, San Francisco, and Washington, DC outside Asia. For more information on Temasek, please visit www.temasek.com.sg. For Temasek Review 2026, please visit www.temasekreview.com.sg. For Sustainability Report 2026, please visit www.temasek.com.sg/SR2026.

Data Engineer Intern

As a Data Engineer Intern at Temasek, you will support the development of data foundations that enable AI solutions and agentic systems to deliver meaningful business value. Working alongside data engineers, AI engineers, and business stakeholders, you will gain hands-on experience in preparing, organizing, and maintaining data that powers AI applications across the organization.

This role offers exposure to both data engineering and AI systems, providing opportunities to contribute to data pipelines, data quality initiatives, and data preparation activities that help AI systems access and utilize information effectively. You will work with a variety of data sources, including structured data such as financial and operational datasets, as well as unstructured content such as reports, research materials, and business documents.

Through real-world projects, you will learn how data is collected, transformed, and made AI-ready, while developing an understanding of how high-quality data supports trustworthy and effective AI solutions in a global investment environment. This internship is ideal for individuals who are curious about data, AI technologies, and building digital solutions that drive business impact.

Responsibilities

• Support the design, development, and maintenance of data pipelines using cloud and big data technologies under the guidance of experienced data engineers and architects.
• Assist in monitoring, scheduling, and troubleshooting data processing jobs in cloud-based environments.
• Participate in the testing, deployment, and validation of data applications to ensure data quality and reliability.
• Collaborate with business and technical teams to gather requirements and develop dashboards, reports, and visualizations that support business decision-making.
• Support data quality, documentation, and process improvement initiatives to help make data more accessible and AI-ready.
• Work with structured and unstructured datasets to gain hands-on experience in data engineering and AI-driven data solutions.
• Contribute to team discussions, project planning, and knowledge-sharing activities while learning best practices in data and AI engineering.

Requirements

Commitment

• Able to commit full-time for a minimum of 20 weeks. Interns who are able to commit to a full-time (5 days/week) or a minimum of part-time (4 days/week) internship is strongly preferred.

Technical and Academic Qualifications

• Currently pursuing a degree in Engineering, Computer Science, and Computer Engineering.
• Coding proficiency in at least one modern programming language.
• Data processing experience in SQL, including knowledge of database principles.
• Good grasp of key computer science and software engineering concepts, including but not limited to software design patterns, application security, performance, and TDD.
• Strong interest in learning new data systems and technologies.

Skills and Experience (Preferred)

• Strong communication and interpersonal skills.
• Experience in cloud technologies like AWS is preferred.
• Experience with big data frameworks like Airflow or Spark is desired.
• Experience with CI/CD practices and systems (e.g., Git, Bitbucket) is a plus.
• Experience with data visualization tools like Tableau or Qlik is advantageous.