Senior Data Engineer
Pubblicato il 23-08-2026 - TheWhiteam in Ispra
Role: Senior Data Engineer in support of FASST.
Le seguenti informazioni forniscono una panoramica delle competenze, delle qualità e delle qualifiche necessarie per questo ruolo.Place of performance: Ispra (Italy). European Union, represented by the European Commission, Joint Research Centre in Ispra, Clean Air and Climate Unit.
Modality: Onsite.
Duration: 36 months.
Rate/budget on offer: 315€-335€/day.
The Clean Air and Climate Unit (JRC.C5) supports the implementation of legislation on air quality and climate change, as well as international agreements, at European, international and global levels. JRC.C5 developed the Fast Assessing and Screening Tool (FASST) for integrated air quality assessment modelling, supporting the design of decarbonisation and energy-transition policies, with particular reference to air pollution, its impacts on health and ecosystems, and the co-benefits of air quality and climate policies.
The FASST tool is used in studies covering Member States, candidate and neighbourhood countries, as well as at the global level.
JRC.C5 supports other Commission services (DG ENV, DG ENEST, DG MENA and DG RTD) in monitoring and implementing the EU acquis under Chapter 27 on Environment and Climate Change in accession and neighbourhood countries. It also contributes to the revision of the Gothenburg Protocol to the Air Convention (CLRTAP) and supports international and global studies in collaboration with international organisations such as WHO, UNEP, the World Bank and the OECD.
The scope of the contract is to provide scientific data management support to the SCENARIO project team for the development, maintenance, optimisation and operation of the FASST tool including retrieval of datasets with input variables for model execution and testing, model validation by comparison with measurements (ground-based and satellite) and results from other models (including chemical transport models, Gaussian models, Lagrangian models and statistical models) and data