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 at 13 August 2025, CLI had S$117 billion of funds under management held via stakes in seven listed real estate investment trusts and business trusts and a suite of private real asset vehicles that invest in demographics, disruption and digitalisation-themed strategies. Its diversified real asset classes include retail, office, lodging, industrial, logistics, business parks, wellness, self-storage, data centres, private credit and special opportunities.
Job Description
The Digital International (Data & AI) department provides the end-to-end big data and analytics solutions and services for Business Units and Corporate Functions in CapitaLand. You will be part of the team to use data and generate insights to solve business questions. You will work closely with business users to understand their business needs and use data from both internal and external sources to address business questions. Business users will take on the transformed data and derive insights for decision making.

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

Requirements

• Pursuing a Bachelor’s Degree in Computer Science, Information Technology or a related field
• 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
• Familiar with SQL (e.g. Spark SQL, PostgreSQL, MySQL) will be an advantage
• 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

• 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 assigne