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Geospatial Engineer

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Onsite

Geospatial Engineer

Virtual Intelligence Solutions

Geospatial Engineer

Skills

SQL QueriesDockerPythonData SciencePostgreSQLData AnalysisMachine LearningFastAPI

2 months ago

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Important information


Contract type:

Part time

Location:

Nigeria

Work mode:

Onsite

Published on:

24 August 2026

What they need


Job summary

Virtual Intelligence Solutions Limited is seeking an experienced Geospatial Engineer to help develop the geospatial intelligence layer of a transportation platform. The platform coordinates passengers and moving vehicles across defined transportation routes. The Geospatial Engineer will be responsible for designing and implementing these systems

Min Qualification: Degree Experience Level: Mid level Experience Length: 3 years Language Requirement: English Working Hours: Part Time - Flexible Hours Applicant Location: Remote (Work From Home), Nigeria

Job descriptions & requirements

Responsibilities:

Route & Geospatial Architecture:

  • Design the platform's geospatial architecture using PostgreSQL/PostGIS.
  • Convert transportation routes into accurate digital route geometries and service corridors.
  • Develop geofencing and route-validation functionality.
  • Determine whether passenger pickup and destination locations can be served by particular routes.
  • Identify overlapping routes and route intersections.
  • Develop efficient spatial indexing and querying strategies.

GPS & Vehicle Tracking:

  • Process real-time GPS data from moving vehicles.
  • Develop methods for handling inaccurate, noisy or drifting GPS coordinates.
  • Implement map matching to determine the road/route on which a vehicle is actually travelling.
  • Determine vehicle direction and route progression.
  • Develop vehicle-on-route/off-route detection.
  • Support real-time vehicle-location services.

Routing & Pickup Optimization:

  • Integrate and/or develop road-network routing capabilities.
  • Calculate road-based distance and travel time rather than relying solely on straight-line distance.
  • Determine suitable passenger pickup/drop-off points.
  • Calculate permissible route deviations.
  • Support intelligent passenger-to-vehicle matching.
  • Work with routing technologies such as OSRM, Valhalla, GraphHopper or equivalent.

APIs & Backend Integration:

  • Develop or support geospatial REST APIs.
  • Integrate geospatial services with the existing application backend.
  • Optimize PostGIS queries for real-time operation.
  • Work with developers responsible for the driver and passenger applications.
  • Design geospatial services capable of scaling as vehicle and passenger volumes increase.

Requirements:

  • Bachelor's degree or higher in one of the following, or equivalent professional experience:
  • A minimum of 3–5 years of professional geospatial software engineering experience.
  • Computer Science, Software Engineering, Geoinformatics
  • Geomatics, Geographic Information Systems
  • Surveying/Geospatial Engineering, Transportation Engineering
  • Geography with significant software-development experience

Required Skills

Strong practical experience with:

  • PostgreSQL/PostGIS
  • Python
  • Spatial SQL
  • GeoPandas
  • Shapely
  • GDAL/PROJ
  • OpenStreetMap
  • Mapbox and/or Google Maps Platform
  • Geofencing
  • Spatial indexing
  • Coordinate systems and projections
  • GPS/trajectory data
  • REST APIs
  • Road-network data

Candidates should also understand:

  • Map matching
  • Network topology
  • Routing algorithms
  • Nearest-neighbour spatial searches
  • Point-to-line and point-in-polygon calculations
  • Route buffers/corridors
  • Vehicle heading/direction calculations
  • High-frequency location data

Highly Desirable

Experience with one or more of the following:

  • OpenStreetMap routing
  • GeoServer
  • GeoDjango
  • FastAPI
  • Docker
  • WebSockets/event-driven location systems

Data Science & ML Collaboration

Work closely with our Data Scientist/ML specialist on:

  • Passenger-demand analysis
  • Supply/demand heat maps
  • Demand forecasting
  • ETA modelling
  • Vehicle utilization
  • Driver positioning
  • Passenger/vehicle matching
  • Route-performance analytics
  • Future optimization models

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