INTERNSHIP DETAILS

Intern, Data Analytics (Data Engineer) (Jan - Jul '27)

CompanyCapitaLand Investment Limited
LocationSingapore
Work ModeOn Site
PostedNovember 5, 2026
Internship Information
Core Responsibilities
The intern will assist in developing and maintaining ETL data pipelines to support business reporting and analytics. They will also collaborate with data teams to integrate systems, automate tasks, and ensure data integrity through validation and quality checks.
Internship Type
full time
Company Size
9787
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 over 270 cities in more than 40 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

Job Responsibilities:

  • Assist in developing, maintaining, and monitoring ETL/data pipeline workflows to support business reporting and analytics.
  • Perform data extraction, transformation, validation, and quality checks to ensure data accuracy and integrity.
  • Support the integration of data from multiple systems into the enterprise data platform.
  • Assist in automating recurring data processing and reporting tasks using SQL, Python, or other scripting tools.
  • Create and maintain technical documentation, including data dictionaries, pipeline documentation, and process workflows.
  • Collaborate with Data Engineers, Data Analysts, and business stakeholders to support data-related projects and resolve data issues.
  • Provide support for ad hoc data requests, troubleshooting, testing, and continuous improvement initiatives as assigned.

Job Requirements:

  • Currently pursuing a degree in Computer Science, Data Science, or Information Systems.
  • Proficient in SQL, Python, and Microsoft Excel.
  • Basic knowledge of databases, ETL, and data pipelines.
  • Familiarity with Git and cloud platforms is an advantage.
  • Strong analytical, problem-solving, and communication skills.
  • Detail-oriented, able to multitask, and deliver work accurately on time.
  • Eager to learn and work collaboratively in a team environment.

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
SQLPythonMicrosoft ExcelETLData PipelinesData ExtractionData TransformationData ValidationGitCloud PlatformsAnalytical SkillsProblem-solvingCommunication SkillsTechnical Documentation
Categories
Data & AnalyticsTechnologySoftwareEngineering