Intern, Geospatial Data Engineering & Platform team

Description

• Implement comprehensive validation processes and data quality checks to ensure data accuracy, consistency, and reliability.
• Contribute to the documentation of data processes
• 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.
• Assist in the development of building robust data ingestion pipelines to collect, clean, and merge data from diverse source systems

Requirements

• 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
• Pursuing tertiary qualifications in Data Science, Computer Science, or a related technical field
• Strong communication skills and ability to work effectively in a team environment
• Able to commit between August 2025 to December 2025 or January 2026 to May 2026.
• Familiarity with data management concepts, data engineering techniques, and ETL processes

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance