INTERNSHIP DETAILS

Intern, Digital & Technology (Data & AI)

CompanyCapitaLand Investment Limited
LocationSingapore
Work ModeOn Site
PostedMay 21, 2026
Internship Information
Core Responsibilities
Assist in building, testing, and supporting data pipelines on the Enterprise Data Platform. Support data processing tasks and organize datasets to help business stakeholders derive insights for decision making.
Internship Type
full time
Company Size
9579
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
CapitaLand Group (CapitaLand) is one of Asia’s largest diversified real estate groups. Headquartered in Singapore, CapitaLand’s portfolio focuses on real asset management and real estate development, spanning across 277 cities in 45 countries. Within its ecosystem, CapitaLand has developed an integrated suite of real asset management, real estate development, and operating capabilities that supports its businesses in building core competencies across the value chain. With this full range of capabilities, CapitaLand can optimise the strategies of its listed real estate investment management business CapitaLand Investment, and its privately held property development arm CapitaLand Development; to drive competitive advantage for its businesses. CapitaLand places sustainability at the core of what it does. As a responsible real estate company, CapitaLand contributes to the environmental and social well-being of the communities where it operates, as it delivers long-term economic value to its stakeholders.
About the Role

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

The Digital & Technology (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

  • Currently 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.

Key Skills
PythonJavaObject-Oriented ProgrammingSQLSpark SQLPostgreSQLMySQLAzure Data FactoryAzure DatabricksSparkHiveData EngineeringData PipelinesBig DataData Analytics
Categories
Data & AnalyticsTechnologySoftwareEngineeringFinance & Accounting