What Youll Do

• Assist in building, maintaining, and optimising automated data pipelines and workflows.
• Ingest, process, and manage structured, geospatial, satellite, weather, and external datasets.
• Support the development of analytical datasets, dashboards, reporting solutions, and client-facing tools.
• Contribute to internal platforms and data-driven applications used for risk analysis and decision-making.
• Assist with ETL/ELT processes, data transformation, and integration workflows.
• Monitor and improve data quality, integrity, reliability, and performance across systems.
• Collaborate with cross-functional teams on data, analytics, and geospatial initiatives.
• Continuously learn and contribute ideas to improve workflows, automation, and engineering practices.

Requirements

Essential

• Bachelors degree in Computer Science, Engineering, Data Science, Information Systems, GIS, or...