Geospatial Specialist; Geospatial Data Scientist

Telekom HBS
, part of the Telekom Group
, is an ICT Systems Integrator offering a comprehensive suite of ICT Solutions and Services.

Telekom HBS
, specializes in delivering ICT Services in areas such as Cloud, Data Centre operations, Networking, Cybersecurity, BI and Data Warehouse, Big Data, Service Desk, Proactive Monitoring, Operations and Support, Service Management, Project and Programme Management, and Professional Services. We are seeking a Geospatial Data Scientist to join our team and be responsible for the following tasks:

• Review project requirements, client documentation, source datasets, reference geographies, and existing geospatial platform capabilities to define the geospatial implementation baseline.
• Assess geospatial data readiness, including raster datasets, vector layers, administrative boundaries, sub-national datasets, coordinate systems, spatial metadata, and known data quality constraints.
• Design and implement geospatial data preparation workflows, including geometry validation, coordinate reference system handling, reprojection, format normalization, clipping, joining, aggregation, simplification, enrichment, and spatial quality checks.
• Support raster and vector data processing requirements, including raster preparation, vector layer management, spatial indexing, tiling considerations, and preparation of datasets for downstream analytics, APIs, map services, or visualization layers.
• Participate in technical discussions with client stakeholders to clarify geospatial requirements, confirm assumptions, assess feasibility, explain limitations, and support acceptance of delivered outputs.
• Support the analysis, design, implementation, validation, and documentation of geospatial capabilities for the current project and future related initiatives.
• Implement or configure agreed geoprocessing functions, which may include buffering, proximity analysis, spatial aggregation, pattern analysis, classification, composite indexing, clipping, spatial joins, and sub-national processing.
• Support the preparation and publication of geospatial outputs through agreed mechanisms, such as GeoJSON, Shapefile, CSV with coordinates, GeoTIFF where applicable, map services, OGC aligned service patterns, APIs, or export packages.
• Provide technical input to API and interoperability teams on geospatial service requirements, including OGC WMS, WFS, WCS, OGC API patterns, GeoJSON, metadata alignment, and geospatial API payload structures where applicable.
• Work with data engineering and data architecture teams to ensure geospatial datasets are correctly integrated into ingestion, transformation, validation, metadata, governance, and publication workflows.
• Support geospatial metadata, provenance, quality, and lineage requirements in coordination with data governance and catalogue teams.
• Define and execute geospatial validation activities, including sample maps, spatial accuracy checks, comparison against reference layers, export validation, format validation, and documentation of known limitations.
• Advise on geospatial performance considerations, including map loading, spatial query patterns, export size, raster processing complexity, tile generation, and service consumption patterns.
• Prepare clear technical documentation, configuration notes, supported format descriptions, workflow diagrams, validation evidence, operational considerations, and handover materials for technical teams.

• Education: Advanced university degree in Geographic Information Systems, Geography, Geomatics, Geospatial Science, Environmental Science, Computer Science, Data Science, Engineering, or a related field. A first-level university degree with additional relevant experience may be accepted.
• Professional
  
  Experience:
  
  Proven professional experience in GIS, geospatial data engineering, spatial analytics, or geospatial solution implementation.
• Geospatial Data
  
  Experience:
  
  Hands-on experience with raster and vector datasets, administrative boundaries, sub-national data, coordinate reference systems, spatial metadata, and geospatial data quality controls.
• Implementation
  
  Experience:
  
  Experience designing and implementing geospatial workflows such as data preparation, reprojection, geometry validation, spatial joins, aggregation, clipping, proximity analysis, buffering, raster processing, or map layer publication.
• Standards and Interoperability: Experience with common GIS formats and standards, including GeoJSON, Shapefile, KML/KMZ, CSV with coordinates, GeoTIFF, and web mapping or…