Hybrid Weather & Climate Scientific Software Engineer

ByteHire Limited.; Exeter; Hybrid; GBP 55,000 - 75,000; Full time

Job summary

ByteHire Limited. is seeking an experienced Scientific Software Engineer to support the development and integration of next-generation weather and climate forecasting systems in Exeter.

This hybrid role involves connecting new simulation models with forecasting infrastructure and ensuring large-scale data transfer and processing across systems. You will work with scientists and software engineers to modernise legacy models, develop data processing workflows, and ensure robust software delivery

Qualifications

• Proven experience developing scientific or data-intensive software.
• Strong Python programming experience.
• Hands-on GIS/geospatial data experience.
• Experience in Linux environments for scientific computing.
• Experience using Fortran for scientific or numerical computing.
• Experience building data processing workflows and format conversions.
• Knowledge of software testing and QA best practices.

Responsibilities

• Design, develop and maintain scientific software for weather and climate forecasting.
• Build data interfaces and workflows linking new models with existing systems.
• Create solutions for large-scale data processing and format conversions.
• Write, test and maintain software in Python, Fortran and Linux environments.
• Collaborate with scientists and developers to deliver effective solutions.
• Apply software engineering best practices and documentation standards.
• Troubleshoot integration issues and improve reliability and performance.
• Share knowledge and contribute to continuous improvement.

Skills

Python

GIS/geospatial data

Linux environments

Fortran

Data processing workflows

Software testing/QA

Collaboration/communication

Job description

ByteHire Limited. is seeking an experienced Scientific Software Engineer to support the development and integration of next-generation weather and climate forecasting systems in Exeter.

This hybrid role involves connecting new simulation models with forecasting infrastructure and ensuring large-scale data transfer and processing across systems. You will work with scientists and software engineers to modernise legacy models, develop data processing workflows, and ensure robust software delivery