Map Developer/Geospatial Engineer

Overview of Role

We are seeking a Map Developer to design, develop, and implement interactive and functional maps for a variety of applications. The ideal candidate has a passion for geospatial technologies, strong technical skills, and experience working with mapping APIs, geospatial databases, and cloud data platforms. You will leverage tools such as DuckDB, H3 Index, Snowflake, and Databricks to manage and analyse large-scale geospatial datasets and build high-performance mapping solutions. Proficiency with TypeScript will be critical to ensure code maintainability and scalability.

Responsibilities

• Develop interactive maps using libraries and technologies like Leaflet.js, Mapbox, Google Maps API, and OpenLayers.
• Implement H3 Indexing for spatial partitioning and optimization to improve data analysis and map rendering performance.
• Manage and optimize geospatial data querying, storage, and transformation using Snowflake and Databricks.
• Leverage DuckDB for efficient local geospatial querying and real-time analysis.
• Develop and maintain clean, scalable, and type-safe code using TypeScript for frontend and backend geospatial solutions.
• Build spatial queries, conduct geospatial analysis, and optimize pipelines for mapping and visualization tasks.
• Collaborate with data engineers and backend developers to integrate geospatial data pipelines into cloud platforms (e.g., Snowflake and Databricks).
• Work with GIS tools (QGIS, ArcGIS) to analyse and visualize large-scale spatial data.
• Integrate mapping tools with cloud platforms and automate data workflows for geospatial analytics.
• Stay up-to-date with the latest tools and technologies in cloud data platforms, geospatial mapping, and spatial data indexing.

Requirements and skills

• Bachelors degree in computer science, Geographic Information Systems (GIS), Data Engineering, or a related field.
• Proficiency in mapping libraries/APIs: Google Maps, Mapbox, Leaflet, OpenLayers, or similar.
• Experience with H3 Index for spatial indexing, analysis, and partitioning.
• Strong hands-on experience with Snowflake and Databricks for managing, analysing, and processing large-scale geospatial data.
• Proficiency with DuckDB for real-time geospatial querying.
• Strong programming skills in TypeScript and modern web technologies (HTML, CSS, JavaScript).
• Experience working with geospatial data formats: GeoJSON, KML, Shapefiles, and GPX.
• Familiarity with GIS software (QGIS, ArcGIS) for spatial data analysis.
• Solid understanding of SQL and experience optimizing spatial queries.
• Ability to collaborate in a cross-functional team and integrate solutions with cloud services.

What you can expect from us

We appreciate that individual growth is important as well and we support you on every aspect of personal development.

• Training in Databricks.
• Support on certifications.
• Hands-on AWS, Azure, and GCP.
• Support you on any cloud certification.
• Build leadership skills.