Senior R Developer - London

FDM is a global business and technology consultancy seeking a Senior R Developer / Software Engineer to work for our client within the public sector. This is initially a 4- month contract with the potential to extend and will be a hybrid role that will be based in London

We are seeking an experienced Senior R Developer / Software Engineer to support the enhancement and modernisation of critical data and reporting solutions. The successful candidate will play a key role in upgrading existing platforms, reducing technical debt, improving application performance, and ensuring the ongoing reliability of business-critical systems.

This role requires a strong software engineering mindset, combining advanced R development expertise with a focus on testing, automation, quality assurance, and scalable data solutions.

Key Responsibilities:

• Design, develop, maintain, and enhance complex applications and data solutions using R.
  
• Refactor legacy codebases to improve maintainability, performance, scalability, and code quality.
  
• Modernise existing systems and migrate applications to newer technology platforms.
  
• Develop and maintain data transformation pipelines that support reporting and analytical requirements.
  
• Create and manage reusable R packages, libraries, and software components.
  
• Implement software engineering best practices, including version control, code reviews, documentation, and automated deployment processes.
  
• Optimise application performance and resolve technical debt across existing solutions.
  
• Collaborate with technical and business stakeholders to understand requirements and deliver robust solutions.
  
• Ensure continuity and consistency of outputs when implementing system improvements or platform changes.
  
• Design and execute comprehensive testing strategies, including regression testing, reconciliation activities, and automated validation processes.
  
• Develop quality assurance frameworks to ensure code changes are thoroughly tested and do not impact established outputs.
  
• Support the enhancement of reporting and analytical capabilities through improved data models and processing logic.
  
• Contribute to proof of concepts and innovation initiatives using modern cloud and analytics technologies.