- Fully Remote - UK Based
- Working with some of the industry leaders
- Amazing share scheme option
Remote Role – Central London Office Sustainability Data EngineerThe OrganisationWe 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 OverviewWe'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.