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Geospatial Data Engineer
1 month ago
Our client, who is based in the Public Sector, has a requirement for a Geospatial data engineer. This role will be 3 to 4 months in duration and based near Edinburgh. This role will be remote based with some office time in Edinburgh. This role attractsa daily rate of £300.
**About the role**:
This role and team and monitor the location, extent, and condition of woodlands throughout Great Britain. This is a GB wide programme comprising the on-going maintenance of a map of woodland based on data from multiple sources including administrative sourcesand remote sensing, regular repeat assessments of sample squares within the woodland and the analysis and reporting of woodland metrics. Custom built software is used for the data collection at the sample squares.
**Job Role**:
- Geospatial Data Management - managing, maintaining, and developing the NFI Oracle / ESRI geographic data sets (GIS and relational data) and databases.
- Quality Assurance - Using analytical tools (GIS and geo-processing, C sharp, R, Python, SQL) to extract information from the databases for quality assurance of the data.
- Data Pipelines - Building data pipelines in response to internal and external NFI enquiries.
- Software Support - Developing and testing the custom-built NFI field survey and data analysis software.
- User support - Assist with identifying and resolving software, hardware or data issues reported by the NFI field surveyors and NFI data analysts.
- Aspects of data collation, machine learning (ML) applied to satellite data, and building data pipelines especially where these are to be used alongside the large geospatial data sets collected under the NFI programme.
**Essential Criteria**:
- Degree in IT, data engineering or science, environmental science, or GIS and/or equivalent experience.
- Proven track record in independent problem solving in the field of geo processing in GIS and/or data analysis and data processing.
- Experience using Python or R for analysis and automating data pipelines.
- RDBMS/data modelling experience and strong SQL abilities.
- Experience in geo processing and/or data analysis of large environmental datasets.
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