Geospatial Data Engineer
No red flags detected. This vacancy appears to follow standard recruitment practices.
JOB TITLE:
Geospatial Data Engineer
TYPE OF CONTRACT:
Regular Consultant (CST II)
UNIT/DIVISION:
Geospatial & Intelligence unit (PRG-FG)/Food Security and Nutrition Analysis Service (PRG-F)
DUTY STATION (City, Country):
Rome, Italy/Hybrid
DURATION:
11 months (with possibility of extension)
DELIVERABLES AT THE END OF THE ASSIGNMENT:
The key outputs of the consultant are expected to be:
- A fully operational cloud‑native geospatial database with versioning, backup and recovery mechanisms.
- Fully implemented taxonomy‑aligned GeoEnabler database schema is delivered and available in production environment.
- Fully functional automated ETL/ELT pipelines for ingesting and publishing geospatial master data and operational layers
- Integrated data validation, QA/QC, and lineage tracking mechanisms
- Updated geometry‑enabled APIs are operational in production environment.
- Technical documentation and system diagrams are documented in Azure DevOps and/or other documentation repositories.
- Complete technical documentation package, including:
- System architecture diagrams
- Data workflows and pipeline documentation
- Database schema documentation
- Standard Operating Procedures (SOPs) for maintenance and operations
Education:
Advanced degree in Geoinformatics, Computer Science, Data Engineering or related field.
Experience:
Minimum 5 years of experience in geospatial data engineering;
Proven experience developing in cloud environments and deploying cloud-based applications and services using Infrastructure as a Code (IaaC)
Experience with OGC APIs and other modern geospatial service layers
Knowledge & Skills:
Postgres Database design, administration and maintenance
Geospatial data manipulation, including vector and raster data
Experience with OGC APIs and other modern geospatial service layers
Strong knowledge of AWS including AWS CDK and cloud services RDS, S3, Lambda, ECS & VPC is an asset
Familiarity of cloud native geospatial concepts and cloud native file formats such as geoparquet is an asset
Familiarity with modern database tools and concepts such as duckdb and data lake catalogs is an asset
Familiarity with AI assisted coding is an asset
Languages:
International Professional: Fluency (level C) in English language. Knowledge of a second UN language is an asset.