Job offer

**Data Engineer (80% -100%)**

The Swiss National Bank is looking for a Data Engineer (80%-100%) for the further development and operation of a bank-wide data science environment for the analysis and processing of economic data. The ideal candidate will have a university degree in data science or computer science and experience in data engineering, software engineering and machine learning.

Job description

Data Engineer (80% - 100%)

Your contribution

  • Further development and operation of a powerful, bank-wide data science environment for modeling, analyzing and processing economic data;
  • Advising the specialists in the specialist departments on the implementation of their models and analyses in data processes;
  • Participation in projects according to agile project methodology.

Your knowledge and experience

  • University or university of applied sciences degree in data science or computer science (Master's or doctorate), very good knowledge of data engineering and software engineering;
  • Sound methodological foundations in the areas of data management and data analysis as well as machine learning;
  • Very good knowledge and practical experience in big and fast data technologies (Spark, Kafka etc.) as well as programming languages and frameworks commonly used in this area; ideally knowledge of the Cloudera platform and distributed applications based on Java;
  • High customer orientation; strong ability and willingness to quickly familiarize yourself with challenging tasks and take on responsibility;
  • Good communication skills (oral and written) in German or French as well as in English.

Our offer

  • A responsible and challenging job in a collegial environment and an organization that will challenge you both professionally and personally;
  • Modern working conditions that support work-life balance, including the option to work flexibly and from home;
  • Fair remuneration in line with the market and performance;
  • Equal opportunities and equal treatment have the highest priority.

Job details

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