Senior GIS Data Engineer

Quant Data & Analytics Company; Riyadh; On-site; SAR 120,000 - 150,000; Full time

Job summary

A leading analytics firm is seeking a Senior GIS Data Engineer to work in Riyadh, Saudi Arabia. The role involves designing and maintaining data pipelines for spatial datasets and leading GIS workflows to produce insights. The ideal candidate will have at least 10 years of experience in GIS, strong scripting skills in Python, and in-depth knowledge of geospatial tools like ArcGIS and QGIS. This position offers a unique opportunity to contribute to innovative location-aware solutions in a dynamic environment.

Qualifications

• 10 years of experience in GIS roles, ideally in urban planning.
• Deep experience with ArcGIS suite and QGIS.
• Solid scripting skills in Python for automating geospatial workflows.

Responsibilities

• Design and maintain data pipelines for spatial datasets.
• Lead GIS workflows from data processing to interactive maps.
• Conduct spatial data cleaning and validation using Python.

Skills

GIS analysis

Satellite imagery

Python

ArcGIS

QGIS

Spatial databases SQL

Education

Degree in Geography, Geomatics, Civil Engineering, GIS, Environmental Science

Tools

ArcGIS Suite

QGIS

AutoCAD

Job description

Quant Data & Analytics Company | Full time

Riyadh, Saudi Arabia | Posted on 04/09/2025

Quant, a pioneering Saudi enterprise, leads the charge in digital transformation by leveraging the vast array of data resources available in the fourth industrial revolution. We are deeply committed to delivering exceptional Data Science and AI SaaS products and solutions, with a specialized focus on the real estate sector through Suhail and the retail sector through Fruits360. Our talented dream team possesses unique expertise, enabling us to achieve a track record of marvels, from analyzing more than a trillion data records to serving hundreds of clients across more than 10 industries. Our strategic international and local partnerships alongside our expertise have positioned us as trailblazers in the global transition towards data-driven economies.

Job Description

We’re building next-gen, location-aware solutions—and we’re looking for a Senior GIS Data Engineer who lives and breathes maps, spatial data, and geotechnical storytelling. You’ll be at the core of our geospatial stack—transforming raw location data into actionable insights, clean maps, and smart spatial infrastructure. If you're experienced in GIS analysis, satellite imagery, and have a passion for building scalable, spatially-aware systems, you'll thrive here.

Job Responsibilities:

• Design, build, and maintain data pipelines for spatial datasets, integrating sources like satellite imagery, AutoCAD drawings, and map servers.
  
• Lead end-to-end GIS workflows—from raw data processing to interactive maps and spatial dashboards.
  
• Work with tools like ArcGIS, QGIS, ArcGIS Online, and WMS to analyze and visualize land use, infrastructure, and environmental data.
  
• Conduct spatial data cleaning, transformation, and validation using Python ( GeoPandas , Pandas) and ArcGIS tools.
  
• Maintain and update geodatabases, shapefiles, feature classes, and manage attribute schemas for ongoing projects.
  
• Handle georeferencing, digitization, utility network analysis, and format conversions (e.g., AutoCAD ↔ GIS, KMZ ↔ Shapefile).
  
• Stay up-to-date with GIS trends such as remote sensing, spatial modeling, and data standards.
  

Requirements

• Degree in Geography, Geomatics, Civil Engineering, GIS,Environmental Science, or a related field.
• 10 years in GIS roles, ideally involving urban planning,infrastructure, hydrology, or environmental management.
• Deep experience with ArcGIS suite, QGIS, and othergeospatial tools.
• Solid scripting skills in Python for automating geospatialworkflows (ArcPy, GeoPandas).
• Strong command of spatial databases SQL, shapefilemanagement, schema/domain creation, and data validation is a must
• Skilled in digitizing, georeferencing, cartography, andthematic mapping.
• Solid knowledge of DEM/DTM analysis, catchment areaplanning, and land classification.
• Experience with AutoCAD ↔ GIS workflows, spatial data conversions, and integratingdiverse geospatial formats.
• Familiarity with coordinate system transformations(Lat/Long ↔ UTM,local grid systems).
• Proficient in using ArcGIS Toolboxes and settingsymbology/style rules for feature classes.
• Able to produce high-quality maps, GIS reports, andmaintain geospatial documentation.