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

CapitaLand

Skills

Required

  • SQL
  • Python
  • Microsoft Excel
  • databases
  • ETL
  • data pipelines
  • Git
  • cloud platforms

Preferred

  • analytics
  • ETL/data pipeline workflows
  • data extraction
  • scripting
  • data dictionaries
  • pipeline documentation
  • process workflows

About CapitaLand

  • Us CapitaLand Group (CapitaLand) is one of Asia’s largest diversified real estate groups.
  • Headquartered in Singapore, CapitaLand’s portfolio focuses on real estate investment management and real estate development, and spans across more than 270 cities in over 45 countries.

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.

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.