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Data Processing Engineer

2019-11-12 14:15:01| Space-careers.com Jobs RSS

EUMETSAT is Europes meteorological satellite agency monitoring the weather and climate from space 24 hours a day, 365 days a year We are currently looking for an experienced Data Processing Engineer, from any Big Data Technology environment, to join our international team of young and inspiring engineers and industry professionals, tasked with driving innovation within the Space, Satellite and Earth Observation sector. This role is routed in the mission of EUMETSAT and will provide the opportunity to work with leading IT, Space and Earth Observation organisations and domain experts to make a positive impact on society! What youll be doing The Data Processing Engineer will support the design, development, verification and validation of EUMETSATs cloudbased Data Processing Systems and support their maintenance and evolutions during operations. Contribute to the definition and implementation of EUMETSAT data processing services based on cloud technologies and solutions, including the services supported by the EUMETSAT Product Customisation Toolbox Define and maintain service requirements system requirements and specifications for the development and upgrade of cloudbased Data Processing applications and systems. Contribute and followup the related cloudbased developmentsprocurements and their Integration and Verification Validation IVV testing inside full scale Data Processing Systems Contribute to the definition and planning of the transition into operations of the related EUMETSAT data processing services, and their underlining systems, mainly based on cloud technologies and solutions Support the Data Processing Systems and Applications Manager in defining Big Data related long term plans and roadmaps to harmonise engineering, maintenance and evolutions of Data Processing Systems across all satellite systems exploited by EUMETSAT. What we offer Excellent salary, of up to Euro 6,500 NET after tax monthly based on skills and experience Flexible working time including additional flexileave Full medical coverage for employee and family Attractive pension 30 days of annual leave 14.5 days public holidays Training and development support Relocation allowance and support if applicable Qualifications A University degree in Computer Science, Software Engineering, or equivalent relevant experience gained in a Data Processing Engineering role, preferably working with cloudbased IT services in an operational and user oriented environment. Skills and Experience Proven experience in engineering of Data Processing systems following well established processes and aligned to relevant technical standards e.g. ECSS, CCSDS, OGC, covering the full development lifecycle Proven experience in Big Data Technologies, mainly in the frame of distributing processing, cloud processing and parallel coding Demonstrable knowledge of software development lifecycles and change control processes Competence in the area of Data Processing Systems Verification Validation VV activities, including automated testing, software testing, unit test suite maintenance, software debugging and profiling More about us EUMETSATs role is to establish and operate meteorological satellites to monitor the weather and climate from space 24 hours a day, 365 days a year. This information is supplied to the National Meteorological Services of the organisations Member and Cooperating States in Europe, as well as other users worldwide. EUMETSAT also operates several Copernicus missions on behalf of the European Union and provide data services to the Copernicus marine and atmospheric services and their users. As an intergovernmental European Organisation, EUMETSAT can recruit nationals only from the 30 Member States Austria, Belgium, Bulgaria, Croatia, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Latvia, Lithuania, Luxembourg, The Netherlands, Norway, Poland, Portugal, Romania, Slovakia, Slovenia, Spain, Sweden, Switzerland, Turkey and the United Kingdom.

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