06/09/2026 updated
100 % available
Geospatial Data Engineer | Python | SQL | PostGIS | FME | ArcGIS | Spatial ETL
Doncaster, United Kingdom
United Kingdom
MSc GIS and Data Science, Lebanese University (2020-2022)dbtGeographic Information SystemsArcGIS (Software)ArcGIS ServersExtract Transform Load (ETL)Geospatial IntelligenceGeoServerGEOSGIS ApplicationsPostGISQuantum GIS (QGIS)Spatial Data InfrastructuresSQL DatabasesFeature EngineeringGeoinformatics
Geospatial ETL & Data Engineering
Extensive experience developing, maintaining, and optimising geospatial ETL pipelines using Python, SQL, PostGIS, FME Form, and FME Flow for renewables, oil and gas, and power-grid datasets. Expertise in schema mapping, change detection, and API-based update workflows.
ArcGIS & Geospatial Stack
Strong proficiency with ArcGIS Online, ArcGIS Pro, QGIS, Experience Builder, Survey123, and Dashboards. Skilled in spatial analysis, data transformation, coordinate systems, and publishing geospatial web services.
Python & SQL Programming
Solid programming skills in Python and SQL applied to automation, data pipeline development, spatial data processing, and integration with PostgreSQL/PostGIS and cloud-hosted environments.
Cloud & Service Delivery
Hands-on experience with AWS-hosted PostGIS, ArcGIS web services, view layers, and reusable workflow design, combined with version control discipline and workflow documentation.
Spatial QA/QC & Data Validation
Proven track record in spatial QA/QC, data validation, benchmarking, and performance-focused workflow design to ensure accuracy, completeness, and consistency across global energy datasets.
FME Workflow Development
Building reusable FME workflows for data ingestion, transformation, schema handling, change detection, and update processes across multi-country datasets including the UK, Vietnam, and Thailand.
Databricks & Modern Data Engineering
Working knowledge of Databricks, CI/CD concepts, structured logging, observability patterns, and open-source geospatial tooling, currently deepened through a Databricks-focused Data Engineering apprenticeship.
GIS Consulting & Implementation
Experience delivering GIS consulting, implementation, support, and training across client projects in health, education, emergency response, and government sectors, including ArcGIS-based portals, dashboards, web apps, and StoryMaps.
Database Design & Data Migration
Experience converting and migrating CAD, analogue, cadastral, utilities, and transport data into GIS databases using structured development procedures, and supporting database design, metadata management, and GIS standards.
Extensive experience developing, maintaining, and optimising geospatial ETL pipelines using Python, SQL, PostGIS, FME Form, and FME Flow for renewables, oil and gas, and power-grid datasets. Expertise in schema mapping, change detection, and API-based update workflows.
ArcGIS & Geospatial Stack
Strong proficiency with ArcGIS Online, ArcGIS Pro, QGIS, Experience Builder, Survey123, and Dashboards. Skilled in spatial analysis, data transformation, coordinate systems, and publishing geospatial web services.
Python & SQL Programming
Solid programming skills in Python and SQL applied to automation, data pipeline development, spatial data processing, and integration with PostgreSQL/PostGIS and cloud-hosted environments.
Cloud & Service Delivery
Hands-on experience with AWS-hosted PostGIS, ArcGIS web services, view layers, and reusable workflow design, combined with version control discipline and workflow documentation.
Spatial QA/QC & Data Validation
Proven track record in spatial QA/QC, data validation, benchmarking, and performance-focused workflow design to ensure accuracy, completeness, and consistency across global energy datasets.
FME Workflow Development
Building reusable FME workflows for data ingestion, transformation, schema handling, change detection, and update processes across multi-country datasets including the UK, Vietnam, and Thailand.
Databricks & Modern Data Engineering
Working knowledge of Databricks, CI/CD concepts, structured logging, observability patterns, and open-source geospatial tooling, currently deepened through a Databricks-focused Data Engineering apprenticeship.
GIS Consulting & Implementation
Experience delivering GIS consulting, implementation, support, and training across client projects in health, education, emergency response, and government sectors, including ArcGIS-based portals, dashboards, web apps, and StoryMaps.
Database Design & Data Migration
Experience converting and migrating CAD, analogue, cadastral, utilities, and transport data into GIS databases using structured development procedures, and supporting database design, metadata management, and GIS standards.
Experience
Professional experience5 - 10 years
Freelancer since2026
Languages
ArabicNative speakerEnglishFluentFrenchBasic knowledge
Project history
Developing, maintaining, and optimising geospatial ETL pipelines for renewables, oil and gas, and power-grid datasets using Python, SQL, PostGIS, FME Form, FME Flow, and ArcGIS Online. Automated source-to-PostGIS-to-AGOL workflows reducing processing time by at least 20%. Improved QA/QC and benchmarking workflows, built reusable FME workflows for multi-country datasets, worked with AWS-hosted PostGIS and API-based publishing processes, and supported the REACT initiative with SSEN Transmission.
Delivered GIS and automation solutions across infrastructure and environmental projects. Led GIS work for the River Thames Scheme using ArcGIS Experience Builder, supported flood modelling initiatives including the Nafra project, automated Biodiversity Net Gain workflows using FME and Python, developed GIS solutions for HS2 and automated map production for the Anglian Water Dam Break project, and applied quality-assurance and validation processes.
Delivered GIS consulting, implementation, support, and training across client projects in health, education, emergency response, and government. Implemented ArcGIS-based solutions including portals, dashboards, web apps, StoryMaps, surveys, and data-collection workflows. Built automation workflows using Python and FME to improve operational efficiency and data integration.