Technical Data Engineer Technical Data Engineer …

Bank Julius Bär & Co. Ltd
in Zurich, Zurich, Switzerland
Permanent, Full time
Be the first to apply
Bank Julius Bär & Co. Ltd
in Zurich, Zurich, Switzerland
Permanent, Full time
Be the first to apply
Technical Data Engineer
Julius Baer is the leading Swiss private banking group with a focus on servicing and advising sophisticated private clients and a premium brand in global wealth management. That is why a comprehensive range of services and first-class service quality are essential - as are the committed teams that provide them.

Innovation, operative excellence and appreciation to our employees influence the IT of Bank Julius Baer. We invest continuously in the development of our existing IT landscape and offer through progressive thinking and efficiency the best possible service to our business units. As part of our global and strategic initiatives back office, channel, partner and wealth management systems will be replaced by future-oriented new solutions. To support our strategy, we are looking for the best talents who are willing to shape this challenging journey with us. If this appeals to you, then you should contact us.

  • Technical data engineer for Data & Analytics platform
  • Responsible for data architecture across the common part of the data platform
  • Determines structural requirements and architecture for structural changes
  • Owns data security policies and processes on data platform
  • Strive to identify re-use potential across different data platform consumers
  • Enforces data governance (DQ) policies and standards to ensure quality, accuracy and security of data
  • Is responsible to operationalize data governance
  • Key resource for data onboarding tasks incl. testing of newly sourced data sets

  • Higher education (e.g. "Fachhochschule", "Wirtschaftsinformatik")
  • 5-10 years experience in data architecture and or similar role
  • Banking Know-How welcome
  • German and English language skills
  • Good knowledge in data engineering
  • Deep knowledge in technical and process driven data integration
  • Familiar with data management across different divisions
  • Experience in agile methodology

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