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

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.