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Data Engineer for our Compliance Division - Zürich

Posted on Feb 9, 2019 by Credit Suisse -

Zürich, Zürich Switzerland
Immediate Start
Annual Salary
We Offer
  • You the exciting chance to become part of our highly motivated Analytics team in Credit Suisse Zurich focusing on building and driving new and state of the art technologies in various fields
  • A challenging role as a Data Engineer working closely with data owners, business and the big data project team to work out data sourcing requirements in a demanding, dynamic and international environment
  • Responsibility to drive data discovery and understanding in source systems
  • You will have the ownership of collecting metadata and mapping data elements to business data requirements and have the possibility to study and perform data profiling.
  • As a key go-to person in your field you prepare technical connectivity specifications to source systems for the development team
  • The opportunity to develop the specifications and drive the implementation of data quality requirements and checks
  • The chance to serve as a domain expert during user acceptance testing and discussions with IT partners
  • Becoming part of an open-minded team with a strong team spirit in a versatile, dynamic, and flexible working environment

  • You Offer
  • A Bachelor or Master degree in a quantitative field (Statistics, Mathematics, Economics) or Information Technology (University or University of Applied Sciences)
  • At least 2-3 years' experience in Data Analytics, ideally combined with a technology background in DWH, relational data bases and expertise with Bash
  • Familiarity with assembling and analyzing data sets from disparate sources, applying quantitative methodologies, computational frameworks and systems
  • The ability to write sophisticated SQL queries in combination with strong data analytics skills and experience with data analytics tools (e.g. Python, R, Java/Scala, SQL and/or SAS)
  • A background in big data as well as experience with Agile tools (Confluence, Jira etc) and / or data governance is advantageous
  • Business fluency in English is a necessity, German is a plus
  • Your excellent organisation, coordination skills and presentation skills enable you to effectively collaborate and building your professional network on all levels incl. senior leaders
  • Superb communication and strong motivation to communicate with source system owners
  • High integrity, responsibility and confidentiality is a requirement for dealing with sensitive data
  • Consistent track record as a strong, persistent and self-starting, standout colleague and independent thinker, willing to cooperate in a highly collaborative environment and contribute to the team's success
  • *LI-CSJOB*
    Ms. M. Moos would be delighted to receive your application.
    Please apply via our Career Portal.

    Reference: 636602552