AddressJob description
The Data Engineer - GIS is responsible for designing, building, implementing, and maintaining geospatial data pipelines and infrastructure. This role bridges the gap between GIS and Data Engineering, leveraging strong skills in both areas to transform raw geospatial data into usable formats for analysis and visualization.
Responsibilities
- Design, develop, and test production geospatial data pipelines, tools, and associated software systems.
- Implement a data management architecture to optimize storage, retrieval, and web rendering/publishing of vector and raster data in a spatial database.
- Develop and maintain data quality checks and data cleansing routines for geospatial datasets.
- Conduct spatial analysis using geoprocessing tools and techniques.
- Automate data processing tasks using scripting languages (e.g., Python).
- Collaborate with GIS analysts and scientists to understand data requirements and translate them into technical solutions.
- Document data pipelines and infrastructure for maintainability.
- Stay up-to-date with the latest advancements in geospatial data technologies and best practices.
Qualifications
- Bachelor's degree in Computer Science, Geography, Information Systems, or a related field.
- Minimum 2+ years of experience as a Data Engineer or in a similar technical role.
- Proven experience with designing and building data pipelines.
- Strong programming skills in Python (including libraries like pandas, NumPy, and scikit-learn).
- Experience with geospatial data formats (e.g., Shapefile, GeoJSON, KML) and spatial databases (e.g., PostGIS).
- Proficiency in SQL and relational database management.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) is a plus.
- Excellent communication and collaboration skills.
- Ability to work independently and as part of a team.
Desired Skills
- Experience with geospatial web development frameworks (e.g., Leaflet, OpenLayers).
- Experience with version control systems (e.g., Git).
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Understanding of spatial analysis techniques (e.g., network analysis, hot spot analysis).
Our role in supporting diversity and inclusion
As an international workforce business, we are committed to sourcing personnel that reflects the diversity and values of our client base but also that of Orion Group. We welcome the wide range of experiences and viewpoints that potential workers bring to our business and our clients, including those based on nationality, gender, culture, educational and professional backgrounds, race, ethnicity, sexual orientation, gender identity and expression, disability, and age differences, job classification and religion. In our inclusive workplace, regardless of your employment status as staff or contract, everyone is assured the right of equitable, fair and respectful treatment.
