Jobs in London, United Kingdom

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Remote role - Central London Office. This is a fully remote role but you MUST be UK based and not require a visa to work.

Our client develops cutting‑edge navigator software for the global agricultural sector, helping farmers transition toward more sustainable practices through science‑backed analytics. Their software provides direct access to advanced sustainability models and insights.

Their Sustainability division consists of specialised Research Software Engineers who transform scientific findings into practical models for farmers and land managers, enabling them to understand their systems better and build more sustainable, profitable operations.

We're seeking an experienced Data Engineer to join our client's Sustainability team as the lead technical specialist in our R‑focused Research Software Engineering group. You'll create and maintain the technical infrastructure that enables our sustainability experts and data scientists to develop innovative agricultural sustainability solutions.

• Guide team members in code architecture, development standards, and deployment processes
• Serve as the technical authority for computationally demanding tasks, especially spatial analytics and GIS‑based product development
• Implement scientific research findings into production‑ready code

• Master's degree or equivalent in informatics or life sciences (or bachelor's degree with 5+ years relevant industry experience)
• Deep knowledge of R programming and package development
• Strong background in version control systems and CI/CD implementation
• History of successful collaboration with IT teams on data science workflows
• Proficiency with Windows and/or Linux environments
• Experience with GIS systems and spatial data analysis
• Microsoft Azure experience, particularly R integration
• Familiarity with Python, JavaScript, C++, bash, or other
• Web application development experience (React, .NET)
• Background in data security and IP protection workflows
• Knowledge of environmental sustainability concepts (carbon footprinting, lifecycle analysis, environmental modeling)

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