Overview: We are looking for an experienced Scientific Software Engineer to connect next-generation weather and climate simulation models into an operational downstream forecast ecosystem. Operating across scientific data interfaces and high-throughput workflows, you will develop specialised software applications, translate complex data formats between new simulation codes and legacy systems, and ensure critical forecast pipelines remain reliable and scalable.
Key Responsibilities
- Scientific Application Development: Design, build, test, and maintain specialised scientific software applications in Python to underpin ongoing operational and research programmes.
- Data Interfaces & Format Translation: Engineer scalable data interface workflows to bridge modern simulation model outputs with downstream forecast systems, ensuring efficient format translation and pipeline longevity.
- Cross-Functional Collaboration & Standards: Liaise directly with scientific teams to capture technical requirements, adhere to robust Quality Assurance procedures, and contribute to software engineering best practices across Linux environments.
Requirements
- Core Software Engineering: Strong proficiency in Python and Linux environments, with a proven track record of delivering robust, maintainable code for data-intensive or scientific applications.
- Geospatial & Data Workflows: Practical experience working with GIS data and handling large-scale data workflows or format translation pipelines.
- Engineering Best Practice: Solid experience applying Quality Assurance processes, testing standards, and clear technical documentation to ensure high software quality and maintainability.
- Must Have: Python, GIS experience, Linux.
- Travel: 2-3 times/month
Randstad Technologies is acting as an Employment Business in relation to this vacancy.
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