For full details and to apply, go to our job portal: https://jobs.ecmwf.int/Job/JobDetail?JobId=10321
Weitere Details und Bewerbung auf unserem job portal: https://jobs.ecmwf.int/Job/JobDetail?JobId=10321
Your role at ECMWF in Bonn:
Reporting to the Head of Property Services, based in the UK, the Facilities Management Officer (A2) will be part of the team supporting the organisation across its three duty stations by delivering on areas including, but not limited to, sustainability and environmental targets, procurement of goods/services, budgetary management, Health & Safety management and general facilities related services. The Facilities Management Officer will also lead a small team based in our Bonn duty station and assist the Head of Property Services and our New Buildings Project Manager with the planning and implementation of the Centre's new office facilities in Germany, coordinating and liaising with the German ministries and their project team as required. The role will manage and oversee the day to day property/facilities related activities of our interim facility providing line management to the Office Manager and acting as the main site contact between ECMWF and our host German authority for day to day property related matters.
The European Centre for Medium-Range Weather Forecasts (ECMWF) is an intergovernmental organisation created in 1975 by a group of European nations and is today supported by 35 Member and Co-operating States, mostly in Europe. The Centre's mission is to serve and support its Member and Co-operating States and the wider community by developing and providing world-leading global numerical weather prediction. ECMWF functions as a 24/7 research and operational centre with a focus on medium and long-range predictions and holds one of the largest meteorological archives in the world. The success of its activities relies primarily on the talent of its scientists, strong partnerships with its Member and Co-operating States and the international community, some of the most powerful supercomputers in the world, and the use of innovative technologies such as machine learning across its operations.
APCT1_DE