Geospatial Engineer
Role details
Job location
Tech stack
Job description
This role provides the chance to operate at the cutting edge of geospatial technology, transforming complex remote sensing and GIS datasets into meaningful insights and visualisations for real-world applications. As a Geospatial Engineer, you will be involved in data preparation, management, analysis, mapping, and visualisation, while contributing to the evolution of innovative internal projects., * Perform end-to-end geospatial processing including data acquisition, cleaning, transformation, and integration of satellite (SAR, optical, multispectral) and GIS datasets.
- Prepare, manage, and maintain spatial databases, ensuring high data quality, consistency, and traceability across multiple projects.
- Conduct spatial analysis using Python, GIS tools (QGIS/ArcGIS), and cloud platforms to produce reliable insights that support engineering decisions across Utilities sector
- Collaborate with the Software and Engineering teams to integrate geospatial models and algorithms
- Contribute to R&D initiatives by researching new remote sensing techniques, evaluating new EO data sources, and implementing innovative analytical methods.
- Assist with field-related preparation and interpretation activities when required, including validation of satellite-derived indicators with ground observations.
- Participate in project meetings, provide technical input, and communicate progress effectively within a multi-disciplinary team environment.
- Support continuous improvement by helping to design and implement automation scripts, templates, and scalable geospatial processes.
Requirements
Do you have experience in SQL?, Do you have a Master's degree?, * Experience in industry sectors such as Utilities is ideal, but experience in any other engineering industry would be considered.
- A higher Bachelor's or Master's Degree in Geography, Environmental, Remote Sensing, Survey, Geomatics or Geospatial Engineering is essential.
- Proficiency in Python is required. Knowledge of additional languages (e.g., Java, SQL) is advantageous.
- Knowledge of working with multiple EO (Earth Observation) data sources.
- Knowledge of processing and analysing spatial data sets and applying data science methods.
- Proficiency in Office365, particularly Microsoft Word and Excel, is essential.
- Advanced interpersonal and communication skills are essential, with the ability to work effectively within a team environment.
- Consistency and thoroughness in checking and preparing data, as well as in daily tasks, are crucial.
- Ability to perform routine tasks, as well as engage in research and development to drive projects forward.