About the Role
Geospatial Engineer: 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.
Key Responsibilities
- 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 the 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.
Essential Skills & Experience
- 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 Office 365, 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.
Job Details
Job Types: Full-time, Permanent
Pay: £37,000.00-£42,000.00 per year
Benefits
- Casual dress
- Company events
- Company pension
- Cycle to work scheme
- Enhanced maternity leave
- Private medical insurance
- Work from home
Work Location
In person. Ability to commute/relocate: Newcastle upon Tyne NE1: reliably commute or plan to relocate before starting work (required).
To apply for this role, please fill out your information and upload your CV below.