Research Software Engineer

vor 1 Tag

Bonn, Nordrhein-Westfalen, Deutschland ECMWF Vollzeit
About the Role

We are seeking a highly motivated Research Software Engineer to join our team at ECMWF. As a key member of our Foundational Software Services Team, you will play a crucial role in developing a framework for harmonising access to and understanding of Numerical Weather Prediction (NWP) and climate data.

This is an exciting opportunity to contribute to the development of a software framework that will enable efficient data access, analysis, and visualisation, and directly support ECMWF's machine learning developments.

Main Responsibilities
  • Contribute to the development of a framework for mapping between NWP and climate data, fully integrated with the EarthKit ecosystem of components
  • Participate in requirements gathering and specifications for the new framework
  • Design, implement, deploy, test, document, and release the EarthKit framework and its underlying components
  • Collaborate with others at ECMWF and the user community to ensure EarthKit fits their needs
  • Adapt existing ECMWF tools to use this framework and encourage community adoption
  • Contribute to the integration of this framework into the Copernicus Climate Data Store and ensure it meets user needs
Requirements
  • Advanced university degree (EQ7 level or above) or equivalent professional experience in computer science or engineering, computational science, physics, or natural sciences, mathematics, or a related discipline
  • Demonstrated experience developing object-oriented software in Python
  • Experience of working and scripting in UNIX environments
  • Experience contributing to large-scale software projects, preferably open-source and/or involving multiple software components
  • Experience of working with NetCDF, CF convention, WMO/GRIB, or Earth Observational data is an advantage
Desirable Skills
  • Strong knowledge of software lifecycle maintenance
  • Knowledge of some of Python's scientific stack (xarray, scipy, pandas, etc.) is an advantage
  • Ability to write software in a distributed computing or scientific computing environment is an advantage
  • Knowledge of the CF conventions is an advantage
  • Knowledge of the GRIB and its metadata is an advantage
About ECMWF

ECMWF is a world-leader in weather and environmental forecasting. As an international organisation, we serve our members and the wider community with global weather predictions and data that is critical for understanding and solving the climate crisis.

We function as a 24/7 research and operational centre with a focus on medium and long-range predictions, holding one of the largest meteorological data archives in the world.

The success of our activities builds on the talent of our scientists and experts, strong partnerships with 35 Member and Co-operating States, and the use of innovative technologies and machine learning across our operations.

About the Team

You will be part of the Foundational Software Services Team in the Development Section, responsible for the development and maintenance of software building blocks and complete applications in the areas of data processing, workflow management, and visualisation.

The team is also responsible for deployment, packaging, and testing of multiple software packages, which are made available inside and outside ECMWF.

What We Offer

As a Research Software Engineer at ECMWF, you will have the opportunity to work on a diverse range of tasks, contribute to the development of a software framework that will have a significant impact on the climate data community, and collaborate with a talented team of scientists and engineers.

We offer a dynamic and inclusive work environment, with opportunities for professional growth and development.

ECMWF is an equal opportunities employer and welcomes applications from nationals of ECMWF Member States and Co-operating States, as well as nationals of European Union member states.

We also welcome applications from Ukrainian nationals for this vacancy.

Applications from nationals from other countries may be considered in exceptional cases.

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