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

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 degree in Computer Science, Data Science, or Information Systems

What you’ll work on

Full posting
  • Develop, maintain and monitor ETL and data pipeline workflows

  • Extract, transform, validate and quality-check data

  • Integrate data from multiple systems into the enterprise data platform

  • Automate recurring data processing and reporting tasks

  • Write and maintain data dictionaries and pipeline documentation

From the employer’s posting
Assist in developing, maintaining, and monitoring ETL/data pipeline workflows
Perform data extraction, transformation, validation, and quality checks
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

What you’ll bring

All qualifications

Core experience

  • 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
  • Strong analytical, problem-solving and communication skills

Preferred experience

  • Familiarity with Git and cloud platforms
Qualification wording
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
Strong analytical, problem-solving, and communication skills
Familiarity with Git and cloud platforms is an advantage

About CapitaLand Investment

We provide equal opportunity for all qualified persons and build an inclusive workplace regardless of race, gender, age, religious belief or nationality.

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
4
Last seen by us
Nov 9, 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.

  • Python
  • SQL
  • Excel
Where the posting names them
- 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.
- 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.

Your next step

Complete your application on capitaland.wd3.myworkdayjobs.com. The employer’s form will show what is required.

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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

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.

Source details

View original posting ↗

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Pay

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Location & working pattern

Singapore, Central Singapore

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