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

CapitaLand; Singapore; Presencial; SGD 22.000 - 29.000; A tiempo parcial

Descripción de la vacante

CapitaLand is offering a student internship in data engineering and analytics, based in Singapore. The role involves assisting with ETL pipelines, data validation, and integration across systems to support reporting and decision making.

You will work with Data Engineers and Analysts, gain hands-on experience with SQL, Python, and cloud tools, and help document data workflows while delivering accurate results on time.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

SQL

Python

Excel

Analytical thinking

Communication

Educación

Pursuing a degree in Computer Science/Data Science/Information Systems

Herramientas

Git

Cloud platforms

Descripción del empleo

About 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.

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.