Intern, Geospatial Data Engineering

(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.