Geographic Information Systems Engineer
Il y a 5 jours
Antwerp, Flanders, Belgique
Vivid Resourcing
Temps plein
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As a GIS Engineer within a SaaS company, you'll be responsible for developing geospatial products, location intelligence solutions, and data-driven applications that enhance user experiences, automate spatial workflows, and support smarter business decision-making.
Like the look of this opportunity Make sure to apply fast, as a high volume of applications is expected Scroll down to read the complete
job description
.
ResponsibilitiesDevelop and implement geospatial analytics solutions for SaaS applications, including spatial intelligence, location-based insights, territory optimisation, site selection, network analysis, predictive spatial modelling, and workflow automation.
Design, deploy, and maintain GIS applications, spatial databases, and geospatial services across cloud environments such as Azure, AWS, or GCP.
Build and maintain automated geospatial ETL/ELT pipelines to process, transform, and integrate large-scale spatial and non-spatial datasets.
Develop APIs and geospatial web services to support internal and customer-facing applications.
Contribute to modern DevOps and GIS infrastructure practices including CI/CD, version control, monitoring, governance, and scalable cloud-native architectures.
Integrate advanced analytics, machine learning, and AI-powered geospatial capabilities to improve decision-making and operational efficiency.
Stay up to date with emerging GIS technologies, spatial analytics methods, cloud platforms, and geospatial innovation initiatives.
Your Profile
2–5 years of experience in GIS Engineering, Geospatial Data Engineering, Spatial Analytics, Geomatics, or a related field.
Strong Python development skills.
Hands-on experience working with GIS platforms such as ArcGIS, ArcGIS Enterprise, ArcGIS Online, QGIS, FME, PostGIS, or similar technologies.
Experience developing and maintaining geospatial applications, APIs, and data services in production environments.
Strong understanding of data engineering concepts including ETL/ELT processes, cloud-native architectures, APIs, databases, and large-scale data pipelines.
Experience with geospatial data processing libraries such as GeoPandas, Shapely, GDAL, Rasterio, ArcPy, or similar tools.
Familiarity with cloud platforms including Azure, AWS, or GCP.
Experience with machine learning, spatial data science, remote sensing analytics, or AI-driven geospatial solutions is considered a strong advantage.
The OfferHybrid working setup with offices located in AntwerpOpportunity to contribute to innovative geospatial products within a fast-growing SaaS environment.
Strong emphasis on technical development, experimentation, and applied location intelligence.
Competitive salary package of up to €6,000 depending on experience and interview performance.
Company car or mobility budget included.13+ ADV days.
Clear pathways for progression into Senior GIS Engineer, Geospatial Architect, Spatial Data Lead, or Technical Leadership positions. xdkqlui Collaborative and high-performing team focused on building next-generation location intelligence software solutions.
Like the look of this opportunity Make sure to apply fast, as a high volume of applications is expected Scroll down to read the complete
job description
.
ResponsibilitiesDevelop and implement geospatial analytics solutions for SaaS applications, including spatial intelligence, location-based insights, territory optimisation, site selection, network analysis, predictive spatial modelling, and workflow automation.
Design, deploy, and maintain GIS applications, spatial databases, and geospatial services across cloud environments such as Azure, AWS, or GCP.
Build and maintain automated geospatial ETL/ELT pipelines to process, transform, and integrate large-scale spatial and non-spatial datasets.
Develop APIs and geospatial web services to support internal and customer-facing applications.
Contribute to modern DevOps and GIS infrastructure practices including CI/CD, version control, monitoring, governance, and scalable cloud-native architectures.
Integrate advanced analytics, machine learning, and AI-powered geospatial capabilities to improve decision-making and operational efficiency.
Stay up to date with emerging GIS technologies, spatial analytics methods, cloud platforms, and geospatial innovation initiatives.
Your Profile
2–5 years of experience in GIS Engineering, Geospatial Data Engineering, Spatial Analytics, Geomatics, or a related field.
Strong Python development skills.
Hands-on experience working with GIS platforms such as ArcGIS, ArcGIS Enterprise, ArcGIS Online, QGIS, FME, PostGIS, or similar technologies.
Experience developing and maintaining geospatial applications, APIs, and data services in production environments.
Strong understanding of data engineering concepts including ETL/ELT processes, cloud-native architectures, APIs, databases, and large-scale data pipelines.
Experience with geospatial data processing libraries such as GeoPandas, Shapely, GDAL, Rasterio, ArcPy, or similar tools.
Familiarity with cloud platforms including Azure, AWS, or GCP.
Experience with machine learning, spatial data science, remote sensing analytics, or AI-driven geospatial solutions is considered a strong advantage.
The OfferHybrid working setup with offices located in AntwerpOpportunity to contribute to innovative geospatial products within a fast-growing SaaS environment.
Strong emphasis on technical development, experimentation, and applied location intelligence.
Competitive salary package of up to €6,000 depending on experience and interview performance.
Company car or mobility budget included.13+ ADV days.
Clear pathways for progression into Senior GIS Engineer, Geospatial Architect, Spatial Data Lead, or Technical Leadership positions. xdkqlui Collaborative and high-performing team focused on building next-generation location intelligence software solutions.