How to Apply: Interested and qualified candidates should apply through the Kenya Space Agency careers portal at jobs.ksa.go.ke.
Master the Data Lifecycle: From Satellite to Stakeholder
This role sits at the intersection of technical remote sensing and public service coordination. Hiring managers will look for candidates who can handle the full chain—acquisition, processing, archiving, and distribution—while also training others and building partnerships.
1. Show your hands-on remote sensing skills: On your CV, list specific software you've used (e.g., QGIS, ArcGIS, ERDAS, Google Earth Engine) and concrete projects where you processed satellite imagery. Mention any classification, change detection, or image enhancement work you've done.
2. Prove your training ability: Since you'll generate training materials and conduct sessions, include any teaching, workshop facilitation, or curriculum development experience. If you have examples of training guides or presentations, be ready to share them.
3. Understand the data management side: Expect questions on how you would archive large datasets, ensure metadata standards, and set up retrieval systems. Familiarize yourself with common standards like ISO 19115 for geographic information.
4. Connect technical work to policy: This is a government role, so be prepared to discuss how Earth observation data supports national development, disaster management, or environmental monitoring. Review Kenya's space policy and any relevant national strategies.
5. Highlight stakeholder engagement: You'll liaise with various stakeholders, so give examples of how you've managed partnerships or coordinated with different teams. Show you can translate technical concepts for non-technical audiences.
6. Prepare for a technical interview: Brush up on the fundamentals of remote sensing, including electromagnetic spectrum, sensor types, resolution concepts, and common analysis techniques. Be ready to solve a practical problem on the spot.
7. Show your research and innovation mindset: The role involves research on satellite development and new applications. Mention any research projects, publications, or innovative uses of Earth observation you've been part of.
8. Emphasize your computer proficiency: Beyond GIS, be fluent in programming languages like Python or R for data analysis, and be comfortable with database management. Highlight any scripting or automation you've done.