Intern, Data & AI (Data Engineering) (Off-cycle Jan-Jun 2027)

Location: Singapore, East Singapore

About Us

Headquartered and listed in Singapore in 2021, CapitaLand Investment Limited (CLI) is a leading global real asset manager with a strong Asia foothold. As of 5 November 2025, CLI had S$120 billion of funds under management. CLI holds stakes in eight listed real estate investment trusts and a suite of private real asset vehicles that invest in demographics, disruption and digitalisation-theme strategies. Its diversified real asset classes include retail, office, lodging, industrial, logistics, business parks, wellness, self-storage, data centres and private credit.

Job Description

Responsibilities

Assist in building, testing, and supporting of data pipelines on CapitaLand’s Enterprise Data Platform (EDP)

Support data processing tasks for various business use cases across the organization

Assist in preparing and organizing datasets to support internal and business stakeholders

Help with documentation, data quality checks, and other ad-hoc tasks as assigned

Must-have Requirements

Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Information Technology, or any other related disciplines

Strong understanding of Python or Java, with hands-on experience applying object-oriented programming (OOP) concepts through academic or internships projects

Willingness to learn and explore new tools and technologies related to data engineering and analytics infrastructure

Good communication skills and a collaborative, team-oriented attitude

Good-to-have Requirements

Familiarity with SQL (e.g. Spark SQL, PostgreSQL, MySQL)

Exposure to cloud-based data engineering platforms and big data tools, such as Azure Data Factory, Azure Databricks, Spark, or Hive (a plus, but not required)

Closing Statement:

At CapitaLand, we advocate fair employment practices, and recruit talents based on merit and fit with our Corporate values. We provide equal opportunity for all qualified persons and build an inclusive workplace regardless of race, gender, age, religious belief or nationality.

Only shortlisted candidates will be notified.