Environmental Spatial Data Manager

Job title:

Environmental Spatial Data Manager

Company

UK Centre for Ecology & Hydrology

Job description

Salary – £37,405 to £39,694
Hybrid working (50/50)
1-year Fixed Term Appointment and Full-Time (37 hours per week)Closing date for applications, Fri, 8th Nov 2024. We reserve the right to close this advert early if we find the right candidate, so we encourage you to apply early.UKCEH is looking for 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.Working at UKCEH is rewarding. Our science makes a real difference, enabling people and the environment to prosper, and enriching society. We are the custodians of a wealth of environmental data, collected by UKCEH and its predecessors over the course of more than 60 years.As a valued member of our team, you’ll get:27 days annual leave, plus 3 days for our Christmas closure10% employer pension contributionEnhanced maternity and paternity leave (subject to qualifying requirements)24 hour, 365-day access to support with physical, mental, social, health or financial issues plus access to our trained Welfare OfficersFlexible working opportunities…You’ll be providing much needed additional support for the Catchment to Coast group, whose long-term monitoring and experiments improve understanding of how environmental change impacts land, soil, freshwater and coastal ecosystems.Your environmental spatial data management expertise will be used to support the Environment and Rural Affairs Monitoring and Modelling Programme ( ). The programme is one of the highest income projects in UKCEH’s science portfolio, encompassing three main components:annual national field survey of Walesintegrated land-use modelling platforma series of rapid evidence provision reportsYour main focus will be to support the ERAMMP field teams and data analysts. Working together, you’ll help us to deliver our integrated national field survey of Wales, which the Welsh Government use to help develop future environmental policy.You’ll be joining a leading independent, not-for-profit research institute that’s committed to recruiting talented people like you, progressing your career and giving you the support you need to thrive at UKCEH.Your main responsibilities will include:Managing, processing and analysing spatial data, including data collected by field surveyors and derived from Earth Observation, as well as proof-reading metadataManaging a breadth of baseline and newly collected data, including sensitive data from Welsh Government, and using UKCEH’s extensive datasets for the UKDeveloping tools to automate data processing and analysis scripts, particularly for interrogation and analysis of environmental spatial dataLiaising with scientists and project management staff to manage diverse data flows, data cataloguing, including documentation of metadata, and disseminating data via UKCEH’sOverseeing secure transfers of project documents, data and other files to the Welsh GovernmentContributing to reports and data publicationsFor the role of Environmental Spatial Data Manager, we need somebody who has:A postgraduate degree (or demonstrable relevant professional experience) in GIS, physical or environmental sciences, maths or computer scienceProficiency 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 mannerExperience in relational database design and management such as ESRI’s Enterprise GIS, Oracle, Microsoft Access or SQLCompetency in data munging to prepare unstructured data into analysis-ready formatsExperience managing personal and other sensitive data in compliance with regulations such as UK GDPR requirementsPractical experience of data quality management, particularly quality controlA clear awareness of requirements for publishing scientific data including structuring metadata and supporting documentation, and FAIR principles for data stewardshipAn aptitude for learning new technologies and techniques to improve capability in analysing, processing and disseminating environmental dataThe ability to seek advice and guidance when solving problemsThe ability to work independently and manage time effectively, with the ability to work to strict deadlines and show a flexible attitude to teamworkThe capability to contribute effectively to the team and support othersEffective verbal and written communication skillsDesirable skills or experience:A PhD in a relevant research areaAny of the following: Machine learning, statistical analysis, environmental modelling or ecologyFamiliarity with popular online data repositories such as GitHub and ZenodoPractical experience of code version control in Git, SVN or similarPrevious 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)If your application is shortlisted, the first stage of our recruitment process for this role is a 25-minute written assessment on Python skills in spatial data analysis (5 short questions to assess your understanding of automating common GIS processes using Python, ArcPy or PyQGIS). 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.If we’ve just described you, we’d love to meet. Apply now. Please send us your CV, which highlights any relevant skills and experience, together with what excites you most about the role and working for UKCEH.We welcome applications from international candidates; however, at present, we are unable to provide visa sponsorship for this role.If you have any questions about the role, or working in the Catchment to Coast team, please contact Hiring Manager, Chris Feeney, email:

Expected salary

£37405 – 39694 per year

Location

Bangor, Co Down

Job date

Thu, 10 Oct 2024 01:21:07 GMT

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