Data Engineer Intern, Technology (Jan - Jun 2027)

re-zoo-me; Singapore; Hybrid; SGD 16,000 - 26,000; Full time

Job summary

Temasek is seeking a Data Engineer Intern to help build data foundations powering AI solutions. You will work with data and AI engineers across structured and unstructured data, contributing to data pipelines, data quality initiatives and dashboards that inform business decisions.

You will learn how data is collected, transformed and prepared for AI-ready analysis in a global investment environment, gaining hands-on experience and exposure to cloud, big data, and visualization tools.

Qualifications

• Pursuing a degree in Engineering, Computer Science or Computer Engineering.
• Coding proficiency in at least one modern programming language.
• Data processing experience in SQL and knowledge of database principles.
• Strong communication and interpersonal skills.
• Familiarity with software design concepts, security, performance and TDD.
• Interest in learning new data systems and technologies.
• Experience with cloud technologies like AWS is preferred.
• Experience with big data frameworks like Airflow and Spark is desired.
• Experience with CI/CD practices and version control (Git/Bitbucket) is a plus.
• Experience with data visualization tools like Tableau or Qlik is advantageous.

Responsibilities

• Support design, development and maintenance of data pipelines using cloud and big data technologies.
• Assist in monitoring, scheduling and troubleshooting data processing jobs in cloud environments.
• Participate in testing, deployment and validation of data applications for data quality and reliability.
• Collaborate with teams to gather requirements and develop dashboards and reports for decision-making.
• Support data quality, documentation and process improvements to make data 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, planning and knowledge sharing while learning best practices in data and AI engineering.

Skills

Programming

SQL

Cloud AWS

Airflow

Spark

CI/CD

Tableau

Education

Engineering, Computer Science, or Computer Engineering

Tools

AWS

Airflow

Spark

Tableau

Qlik

Git/Bitbucket

Job description

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

Introduction

As an 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 AIsolutions 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

• 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.
• Currently pursuing a degree in Engineering, Computer Science and Computer Engineering
• Coding proficiency in at least one modern programming language
• Strong communication and interpersonal skills
• Data processing experience in SQL. 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, TDD
• Strong interest in learning new data systems and technologies.
• Experience in cloud technologies like AWS is preferred
• Experience with big data frameworks like airflow, spark is desired
• Experience with CI/CD practices and systems (e.g. git, bitbucket) are a plus
• Experience with data visualizations tools like Tableau, Qlik advantageous