Job Description

[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 Nov 2025 to Feb 2026 or January 2026 to May 2026 or Mar 2026 to Aug 2026. * Please include your availability in your CV.