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Intern, Data & AI (Data Engineering) (Off-cycle Jan-Jun 2027)

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

New graduates
For current studentsCurrently pursuing a Bachelor’s or Master’s degree in Computer Science, Information Technology, or any other related disciplines

What you’ll work on

Full posting
  • Build, test and support data pipelines on the Enterprise Data Platform

  • Support data processing tasks for various business use cases

  • Prepare and organize datasets for internal and business stakeholders

  • Help with documentation and data quality checks

From the employer’s posting
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

What you’ll bring

All qualifications

Core experience

  • Currently pursuing a Bachelor's or Master's degree in CS, IT or related field
  • Strong understanding of Python or Java with OOP concepts
  • Willingness to learn new data engineering and analytics tools
  • Good communication skills and a collaborative attitude
Qualification wording
Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Information Technology, or any other related disciplines
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
Education & alternatives
Must-have Requirements - Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Information Technology, or any other related disciplines - Strong understanding of Python or Java, with hands-on experience applying object-oriented programming (OOP) concepts through academic or internships projects

About CapitaLand Investment

Headquartered and listed in Singapore in 2021, CapitaLand Investment Limited (CLI) is a leading global real asset manager with a strong Asia foothold.

In the employer’s words · Read in context

Apply at CapitaLand Investment

Posting record

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Actively hiringFirst seen by us 4 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 5, 20264 days ago
Recorded sightings
5
Last seen by us
Nov 9, 2026
Employer says posted
Sep 28, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 4

Early. Similar jobs usually come down between day 5 and day 54.

From 12,127 similar postings that came down. Coming down is not always a hire.

CapitaLand Investment is hiring

8 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Java
  • Python
  • SQL
  • Azure
  • Databricks
  • Hive
  • MySQL
  • PostgreSQL
  • Spark
Where the posting names them
- Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Information Technology, or any other related disciplines - 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-to-have Requirements - Familiarity with SQL (e.g. Spark SQL, PostgreSQL, MySQL) - 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)
- Familiarity with SQL (e.g. Spark SQL, PostgreSQL, MySQL) - 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:

Your next step

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Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 834, the most 1,326, and the latest week had 1,326.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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

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

 

Must-have Requirements 


  • Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Information Technology, or any other related disciplines
  • 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

 

Good-to-have Requirements 


  • Familiarity with SQL (e.g. Spark SQL, PostgreSQL, MySQL)
  • 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.

Source details

View original posting ↗

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Location & working pattern

Singapore, East Singapore

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