IGAD Climate Prediction and Applications Centre has received financing from UNDRR towards the cost of UNDRR-W@H Project and intends to apply part of the proceeds for consulting services.

The consulting services (“Services”) include Supporting to bring in a National Early Warning and Data Officer (Uganda). The assignment is expected to take a period of eleven (11) calendar months from the date of contract commencement.

Qualifications:

• A minimum of a bachelor’s degree in computer science, geographic information systems, geomatics, computer engineering, information technology, meteorology or a related field. A master’s degree is an added advantage.
• Proficiency in SQL and in the administration and querying of spatial databases, in particular PostgreSQL with PostGIS, including schema comprehension, spatial indexing and query performance.
• Working knowledge of OGC service standards, including WMS, WFS, WCS and OGC API, and the ability to diagnose faults in service publication and consumption.
• Demonstrated understanding of the Common Alerting Protocol, covering message structure, validation, geographic targeting and the operational discipline of alert lifecycle management.
• Competence with geospatial software used in operational settings, including QGIS, GeoServer and GDAL.
• Ability to read and modify scripts in Python for routine data handling, automated checks and reporting.
• Familiarity with server and container environments sufficient to inspect service status, retrieve logs and restart defined services under documented procedures.
• Understanding of meteorological and hydrological data formats and products, including gridded forecast data and satellite-derived hazard products.
• A structured approach to fault diagnosis, incident recording and escalation.
• Ability to communicate warning information clearly to institutional users and decision-makers.

Experience:

• A minimum of three years of relevant experience in the operation, administration or development of geospatial, meteorological or emergency information systems. Experience in an operational environment carrying defined service continuity obligations is an added advantage.
• Familiarity with the institutional arrangements for disaster risk management and early warning in Uganda is an added advantage.

• Supporting to bring in a National Early Warning and Data Officer (Uganda).
• Operation, administration or development of geospatial, meteorological or emergency information systems.
• Diagnose faults in service publication and consumption.
• Communicate warning information clearly to institutional users and decision-makers.

• SQL
• spatial databases (PostgreSQL with PostGIS)
• OGC service standards (WMS, WFS, WCS and OGC API)
• Common Alerting Protocol
• geospatial software (QGIS, GeoServer, GDAL)
• Python scripting
• server and container environments
• meteorological and hydrological data formats and products
• fault diagnosis
• incident recording
• escalation

• Bachelor's degree in computer science, geographic information systems, geomatics, computer engineering, information technology, meteorology or a related field.
• Master's degree is an added advantage.
• Three years of relevant experience in the operation, administration or development of geospatial, meteorological or emergency information systems.
• Experience in an operational environment carrying defined service continuity obligations is an added advantage.
• Familiarity with the institutional arrangements for disaster risk management and early warning in Uganda is an added advantage.
• Proficiency in SQL and in the administration and querying of spatial databases, in particular PostgreSQL with PostGIS, including schema comprehension, spatial indexing and query performance.
• Working knowledge of OGC service standards, including WMS, WFS, WCS and OGC API, and the ability to diagnose faults in service publication and consumption.
• Demonstrated understanding of the Common Alerting Protocol, covering message structure, validation, geographic targeting and the operational discipline of alert lifecycle management.
• Competence with geospatial software used in operational settings, including QGIS, GeoServer and GDAL.
• Ability to read and modify scripts in Python for routine data handling, automated checks and reporting.
• Familiarity with server and container environments sufficient to inspect service status, retrieve logs and restart defined services under documented procedures.
• Understanding of meteorological and hydrological data formats and products, including gridded forecast data and satellite-derived hazard products.
• A structured approach to fault diagnosis, incident recording and escalation.
• Ability to communicate warning information clearly to institutional users and decision-makers.