At Lognext, we have been accompanying companies and teams for more than 20 years to identify and implement the technology necessary to advance, making their challenges and objectives our own and getting closer to their reality. Therefore, being a NEXTER means that your career and talent become meaningful to you and those around you, allowing you to build what matters most to you and reach your next level.
We are looking for a talented GIS / Geospatial Data Scientist to join our team and work on innovative projects for a leading international organization in the technology and data services sector.
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What are we looking for?
Proven professional experience in GIS, geospatial data engineering, spatial analytics or geospatial solution implementation.
An analytical, proactive and autonomous professional with strong problem-solving skills, technical ownership and the ability to collaborate with multidisciplinary teams.
University degree in GIS, Geography, Geomatics, Computer Science, Data Science, Engineering or a related field.
Hands-on experience with raster and vector datasets, coordinate reference systems, spatial metadata and geospatial data quality management.
Strong experience with GIS tools such as ArcGIS, QGIS, GDAL/OGR, GeoPandas, PostGIS, GeoServer or equivalent technologies.
Proficiency in Python and geospatial libraries such as GeoPandas, Rasterio, Shapely, Fiona, PyProj or Xarray.
Solid knowledge of SQL and spatial SQL, particularly PostGIS or SQL Server Spatial.
Experience with cloud environments (Azure, AWS or Google Cloud), Data Lake/Lakehouse architectures and geospatial data integration.
Knowledge of geospatial formats and interoperability standards, including GeoJSON, Shapefile, GeoTIFF, WMS, WFS, WCS and OGC APIs.
Familiarity with metadata standards such as ISO 19115, DCAT/DCAT-AP and Dublin Core.
Excellent written and spoken English.
Experience with SDMX, environmental indicators, statistical/geospatial integration and Azure Data Engineering or Azure Data Scientist certifications will be considered a plus.
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What will your main responsibilities be?
Analyze technical requirements and assess geospatial data readiness, quality, availability and integration needs.
Design and implement geospatial data preparation, transformation and validation workflows, including reprojection, spatial joins, clipping, aggregation and quality checks.
Develop geoprocessing workflows involving proximity analysis, buffering, spatial classification, composite indexing and raster/vector processing.
Prepare and publish geospatial datasets through GeoJSON, Shapefile, GeoTIFF, map services and geospatial APIs.
Collaborate with Data Engineering, Data Architecture, Cloud, API and Data Governance teams to integrate geospatial solutions into analytics platforms.
Define and execute spatial validation activities, ensuring data accuracy, interoperability, performance and alignment with geospatial standards.
Produce technical documentation, implementation plans, configuration guidelines and knowledge transfer materials.
Engage with technical stakeholders to clarify requirements, assess dependencies and deliver scalable, maintainable geospatial solutions.
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Skills
Essential:
GIS and geospatial data processing, including raster and vector data management.
Python for geospatial processing and spatial SQL.
GIS tools and spatial databases such as QGIS, ArcGIS, GDAL/OGR, GeoPandas and PostGIS.
Geospatial standards, formats and interoperability patterns.
Cloud-based geospatial processing and data integration.
Strong communication, documentation, problem-solving and independent working skills.
Excellent English communication skills.
Desirable
Experience with SDMX and statistical/geospatial integration.
Knowledge of environmental indicators and international reporting frameworks.
Azure Data Engineering-related certifications.
Azure Data Scientist Associate certification.
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What do we offer?
💼B2B Contract (Business-to-Business).
💰Competitive Daily Rate, based on experience and expertise.
🏠 100% remote
⏰ Flexible working hours.
🏆 Referral Program
Join a team of Nexters who solve real technical challenges, working on impactful projects for leading international organizations.
At Lognext, we are committed to equality between women and men, supported by our officially registered and published Equality Plan. We are a team of nearly 400 Nexters representing more than 25 nationalities, and we believe multiculturalism brings valuable perspectives, experiences and knowledge to our projects. Diversity is an essential part of who we are, and we are committed to fostering inclusive environments where everyone is treated with respect and dignity, regardless of race, religion or beliefs, ethnicity, disability, age, nationality, marital status, sexual orientation or gender.
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