Environmental Data Manager
4 weeks ago
Role Overview
UKCEH is seeking an experienced Environmental Spatial Data Manager to join our team of talented individuals, contributing to scientific discovery and generating the data, insights, and solutions that researchers, businesses, and governments need to solve complex environmental challenges.
The successful candidate will be responsible for managing, processing, and analyzing spatial data, including data collected by field surveyors and derived from Earth Observation, as well as proof-reading metadata.
Main Responsibilities
- Managing a breadth of baseline and newly collected data, including sensitive data from Welsh Government, and using UKCEH's extensive datasets for the UK
- Developing tools to automate data processing and analysis scripts, particularly for interrogation and analysis of environmental spatial data
- Liaising with scientists and project management staff to manage diverse data flows, data cataloguing, including documentation of metadata, and disseminating data via UKCEH's
- Overseeing secure transfers of project documents, data, and other files to the Welsh Government
- Contributing to reports and data publications
Requirements
- A postgraduate degree (or demonstrable relevant professional experience) in GIS, physical or environmental sciences, maths, or computer science
- Proficiency in ESRI's ArcGISPro or ArcMap, QGIS, or similar GIS software, as well as Python to process spatial data workflows in an automated and reproducible manner
- Experience in relational database design and management such as ESRI's Enterprise GIS, Oracle, Microsoft Access, or SQL
- Competency in data munging to prepare unstructured data into analysis-ready formats
- Experience managing personal and other sensitive data in compliance with regulations such as UK GDPR requirements
- Practical experience of data quality management, particularly quality control
- A clear awareness of requirements for publishing scientific data, including structuring metadata and supporting documentation, and FAIR principles for data stewardship
- An aptitude for learning new technologies and techniques to improve capability in analyzing, processing, and disseminating environmental data
- The ability to seek advice and guidance when solving problems
- The ability to work independently and manage time effectively, with the ability to work to strict deadlines and show a flexible attitude to teamwork
- The capability to contribute effectively to the team and support others
- Effective verbal and written communication skills
Desirable Skills or Experience
- A PhD in a relevant research area
- Any of the following: Machine learning, statistical analysis, environmental modelling, or ecology
- Familiarity with popular online data repositories such as GitHub and Zenodo
- Practical experience of code version control in Git, SVN, or similar
- Previous use of secure external file sharing facilities (e.g., Objective Connect)
- Willingness to occasionally travel in the UK (up to a week at a time)
Assessment and Interview Process
The first stage of our recruitment process for this role is a 25-minute written assessment on Python skills in spatial data analysis. Successful completion of this assessment will determine whether you will be called for a 2nd stage interview, either in person at our Bangor, North Wales site, or online using Zoom.
We welcome applications from international candidates; however, at present, we are unable to provide visa sponsorship for this role.
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