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.
Intern, Geospatial Data Engineering & Platform team
Singapore Land Authority
Internship
Closing on 30 Jul 2025
What the role is
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 July 2025 to December 2025
Please include your availability in your CV.
About Singapore Land Authority
The mission of the Singapore Land Authority is to optimise land resources for the economic and social development of Singapore. It ensures the best use of State land and buildings, provides an effective and reliable land management system and enables the full use of land information for better land management.