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Geospatial Data Engineer

Remote / Online - Candidates ideally in
Coventry, West Midlands, CV1, England, UK
Listing for: Arden University
Remote/Work from Home position
Listed on 2026-10-18
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst
Salary/Wage Range or Industry Benchmark: 50000 - 60000 GBP Yearly GBP 50000.00 60000.00 YEAR
Job Description & How to Apply Below

Salary: £50000 - £60000 per annum

Employment type: Permanent

Hours per week: 37

Reporting into: Head of Data Product Development

Department: Analysis Insights and Performance

Unfortunately we cannot sponsor a skilled worker visa for this role.

This role operates primarily on a remote working arrangement that will require little to no travel. Our working model arrangements are a non-contractual benefit so please note that an Arden work location is added to our employment contracts.

About Arden University

We are an aspirational and multi-award-winning university, delivering rapid growth with ambitious plans to disrupt the HE sector through our passion for innovation and digital education. Our vision is to become the first-choice university for career-focused lifelong learners worldwide, ensuring that everyone, everywhere can access higher education, by leading the thoughtful integration of AI into teaching and learning and equipping our students to thrive in an AI-enabled world.

About

our Department

The Analysis, Insights & Performance team plays a key role in shaping how Arden University uses data to make smarter decisions, improve performance and deliver better outcomes for our students. As the University continues to grow and expand globally, the team is at the forefront of turning data into meaningful insight and driving positive change across the organisation.

We're also embarking on an ambitious AI transformation, creating exciting opportunities to develop new data capabilities, unlock greater value from our information, and support innovative ways of working.

Joining the team means being part of a forward-thinking environment where data, technology and innovation come together to shape the future of Arden University.

About the Opportunity

As a Geospatial Data Engineer within Arden University’s Data Practice, you’ll play a key role in designing, developing and delivering high-quality geospatial data pipelines and features that support evidence-based decision-making across the University.

Working closely with the Data Product Lead and Lead Engineer, you’ll take technical ownership of geospatial data curation and GIS-based analysis, developing reliable and scalable solutions that enable geospatial data to be efficiently managed, integrated and made accessible for analytical and decision-making purposes.

You’ll collaborate with data engineers, data scientists, analysts and business teams to ensure geospatial data flows effectively through our data environment and supports the development of valuable data products. You’ll have the opportunity to apply your technical expertise to large-scale datasets and help shape how geospatial information is used across the University.

While geospatial data engineering will be your primary focus, you’ll also contribute to wider data engineering priorities where required, including data governance, data quality and operational support. This is an exciting opportunity to join a growing data practice and help develop robust, data-driven solutions that have a meaningful impact across Arden University.

About You

Essential requirements:

  • Relevant degree or qualification, or equivalent professional experience, with strong competencies in geospatial data engineering and analysis.
  • Extensive relevant professional experience demonstrating broad and/or specialist knowledge of geospatial engineering and analysis.
  • Proven experience processing, cleansing and preparing geospatial data to ensure it is suitable for GIS production and analytical use.
  • Demonstrable experience using ArcGIS, QGIS or other GIS software, with a strong understanding of core GIS concepts including coordinate systems, projections, spatial joins, catchment analysis and network analysis.
  • Demonstrable experience…
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