Overview
Join CapitaLand Investment’s Digital International (Data & AI) team and work at the core of how a leading global real asset manager uses data to guide strategic decisions. In this internship, you’ll help build data pipelines, organise datasets, and support analytics solutions that provide real business value across multiple units.
What You'll Get Out of This Internship
- Hands-on experience with enterprise-level data engineering tools and workflows
- Practical exposure to building and maintaining data pipelines on a modern cloud platform
- Mentorship from experienced data engineers and analytics professionals
- Experience working with real business datasets to support decision-making
- A portfolio of meaningful technical contributions for future opportunities
Key Responsibilities
- Assist with building, testing, and maintaining data pipelines on the Enterprise Data Platform
- Support data processing tasks for various business use cases across CapitaLand
- Prepare and organise datasets for corporate and business stakeholders
- Conduct data quality checks and support documentation of processes
- Help troubleshoot pipeline or dataset issues as they arise
- Contribute to ad-hoc data engineering tasks assigned by the team
Requirements
- Currently pursuing a degree in Computer Science, IT, or a related field
- Experience with Python or Java and basic understanding of OOP concepts
- Eager to learn new data engineering and analytics technologies
- Able to communicate clearly and work well with others
- Familiarity with SQL is a plus
- Bonus: exposure to cloud platforms or big data tools (e.g., Azure, Databricks, Spark, Hive)
Who This Internship Is Ideal For
Ideal for students who enjoy problem-solving, coding, and building data systems that drive real-world decisions.
About the Company
CapitaLand Investment Limited (CLI) is a Singapore-headquartered global real asset manager with a strong presence across Asia. With more than S$100 billion in funds under management, CLI oversees a diversified portfolio that spans retail, offices, lodging, logistics, data centres, and other high-growth asset classes.
Internship Details
Location: Singapore
Duration: To be confirmed
Commitment: Full-time preferred
Working Arrangement: Hybrid/Onsite
Stipend: Provided (based on company policy)
Application Deadline: Not specified
