Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Sustainability Data Engineer

St James's Square
8 months ago
Applications closed

Related Jobs

View all jobs

Lead R Engineer / Data Scientist - Integrated Pest Management & Soil Science

Lead R Data Scientist - Sustainability

Senior Data Platform & MLOps Engineer EMEA - Hemel Hempstead

ESG Data Scientist

ESG Data Scientist

Senior Data Scientist

Remote Role – Central London Office
   
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

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

Jobs

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

Jobs

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.