INTERNSHIP DETAILS

Intern, Geospatial Data Engineering & Platform team

CompanyPublic Service Division
LocationSingapore
Work ModeOn Site
PostedJanuary 13, 2026
Internship Information
Core Responsibilities
Interns will support the Geospatial Data Engineering & Platform team in data operations related to the SLA Enterprise Data Platform. Responsibilities include onboarding data sets, developing data engineering workloads, and maintaining dashboards for monitoring system performance.
Internship Type
full time
Company Size
4118
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
The Government Technology Agency of Singapore (GovTech) is the lead agency driving Singapore's Smart Nation initiative and public sector digital transformation. We harness the power of technology to make lives better for citizens, businesses, international audiences and the public service sector. Our mission: Engineering Digital Government, Making Lives Better. Our goal is to create a government that is "Digital to the Core, and Serves with Heart". We achieve this by using technology to create services that are easy, seamless and secure for people to use, and placing the needs of citizens and businesses at the centre of everything we do. As a digital government, our public officers are also able to continually upskill, adapt to new challenges and work more effectively across agencies as well as with citizens and businesses in Singapore.
About the Role

[What the role is]

The interns will be supporting the Geospatial Data Engineering & Platform team in the data operations revolving around the SLA Enterprise Data Platform. The operations involve: (1) onboarding of SLA data sets onto EDP Data Warehouse for publishing of data sets on EDP Data Portal (2) development of data engineering workload (data transformation pipelines) and dashboards/reports for monitoring of system operating performance, auditorial insights, data quality and performance metrics.

[What you will be working on]

  • Assist in the development of building robust data ingestion pipelines to collect, clean, and merge data from diverse source systems

  • Develop, test, and maintain efficient, scalable, and reusable code for data pipelines

  • Develop, test, and maintain dashboards/reports to serve the daily data operational needs.

  • Implement comprehensive validation processes and data quality checks to ensure data accuracy, consistency, and reliability.

  • Contribute to the documentation of data processes

[What we are looking for]

  • Pursuing tertiary qualifications in Data Science, Computer Science, or a related technical field

  • Strong analytical skills with demonstrable experience in data analysis tools, preferably Python and SQL

  • Ability to write efficient, well-documented code and think critically about edge cases and error handling

  • Familiarity with data management concepts, data engineering techniques, and ETL processes

  • Strong communication skills and ability to work effectively in a team environment

  • Able to commit between Feb 2026 to July 2026 or January 2026 to May 2026 or Mar 2026 to Aug 2026.

  • Please include your availability in your CV.

Key Skills
Data EngineeringData AnalysisPythonSQLData QualityData TransformationETL ProcessesData ManagementDashboardsReportsData IngestionData CleaningDocumentationAnalytical SkillsCommunication SkillsTeamwork
Categories
Data & AnalyticsTechnologyGovernment & Public Sector