INTERNSHIP DETAILS

Intern, DAT

CompanyPublic Service Division
LocationSingapore
Work ModeOn Site
PostedJuly 23, 2026
Internship Information
Core Responsibilities
Support the Enterprise Data Platform team in delivering core data engineering and management functions. This includes developing data models, maintaining transformation processes, and ensuring data quality for analytics and business operations.
Internship Type
full time
Company Size
4444
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 intern will support the SLA Enterprise Data Platform (EDP) team in delivering core data engineering and data management functions. The role involves assisting with data ingestion, data profiling, and data preparation to ensure high-quality, reliable data is available for analytics and business operations. The intern will gain hands-on experience with enterprise data platforms, data pipelines, and data quality practices while working closely with data engineers and business stakeholders to support ongoing data initiatives.

[What you will be working on]

  • Assist in the development of data models for various business domains.
  • Work with stakeholders to understand data requirements and translate them into conceptual, logical, and physical data models.
  • Develop and maintain data transformation processes, including data cleansing, enrichment, normalization, and aggregation, to ensure the integrity and performance of data models.
  • Analyse data from diverse sources and map it to existing data models and schemas.
  • Participate in data validation and testing to ensure the accuracy and completeness of mapped data.
  • Contribute to the documentation of data modelling standards and best practices.

[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
  • Adaptability and willingness to learn
  • Responsible and proactive
  • Able to commit full time from August 2026 to December 2026 / September 2026 to March 2027 for at least 4 to 6 months.
  • Please include your availability in your CV.
Key Skills
PythonSQLData ModelingETL ProcessesData AnalysisData ProfilingData IngestionData PreparationData ValidationData CleansingData NormalizationData Aggregation
Categories
Data & AnalyticsTechnologyEngineeringGovernment & Public Sector
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