Overview

Remote Role - UK BasedThis is a fully remote role but you MUST be UK based and not require a visa to work.The Organisation

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.The 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.Position Overview

We\''re seeking an experienced Data Engineer to join our client\''s Sustainability team as a lead technical specialist in our R-focused Research Software Engineering group to specialise particularly in Integrated Pest Management. You\''ll create and maintain the technical infrastructure that enables our sustainability experts and data scientists to develop innovative agricultural sustainability solutions to solve global issues in Integrated Pest Management (IPM).Core Functions

Lead technical best practices across R package design, code architecture, documentation, and dependency managementEstablish and oversee versioning and CI/CD systems to enhance team workflowsGuide team members in code architecture, development standards, and deployment processesServe as the technical authority for computationally demanding tasks, especially spatial analytics and GIS-based product developmentImplement scientific research findings around Integrated Pest Management (IPM) into production-ready codeCollaborate with our Engineering department to align code design, versioning strategies, and release cyclesEssential Qualifications

Master\''s degree and / or PhD or equivalent in informatics or life sciences (or bachelor\''s degree with 5+ years relevant industry experience)Deep knowledge of R programming and package developmentProven experience managing dependencies and ensuring reproducibility in R production environmentsStrong background in version control systems and CI/CD implementationHistory of successful collaboration with IT teams on data science workflowsProficiency with Windows and/or Linux environmentsExperience with GIS systems and spatial data analysisExceptional problem-solving abilities and adaptabilityLeadership experience with strong communication skillsStructured approach to quantitative challengesComfort working in a dynamic startup environmentQualifications

Microsoft Azure experience, particularly R integrationApplication containerization knowledge (Docker, etc.)Familiarity with Python, JavaScript, C++, bash, or other languagesWeb application development experience (React, .NET)Background in data security and IP protection workflowsKnowledge of environmental sustainability concepts (carbon footprinting, lifecycle analysis, environmental modeling)Experience in agricultural or land management sectors with a background specifically in Integrated Pest Management (IPM)If you are based in the UK and meet the criteria listed then apply now! The Morris Sinclair team will give you a call.

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