Sustainability Data Engineer

St James's Square
10 months ago
Applications closed

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Sustainability Data Engineer

The Organisation

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

Our 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 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.

Core Functions
Lead technical best practices across R package design, code architecture, documentation, and dependency management
Establish and oversee versioning and CI/CD systems to enhance team workflows
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
Collaborate with our Engineering department to align code design, versioning strategies, and release cycles Essential Qualifications
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
Proven experience managing dependencies and ensuring reproducibility in R production environments
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
Exceptional problem-solving abilities and adaptability
Leadership experience with strong communication skills
Structured approach to quantitative challenges
Comfort working in a dynamic startup environment Qualifications
Microsoft Azure experience, particularly R integration
Application containerization knowledge (Docker, etc.)
Familiarity with Python, JavaScript, C++, bash, or other languages
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)
Experience in agricultural or land management sectors 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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