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Data Analytics/ Engineer Python/PySpark

Location: Zürich, Switzerland
Sector: Big Data
Job Type: contract
Salary: Negotiable
Reference: BBBH124969

Data Analytics/ Engineer Python/PySpark

Experis is the global leader in professional resourcing and project-based workforce solutions. Our suite of services range from interim and permanent recruitment to managed services and consulting, enabling businesses to achieve their goals. We accelerate organisational growth by attracting, assessing and placing specialised professional talent.

On behalf of our client, a leading financial institution in Zürich, we are looking for a Senior Python/PySpark Data Engineer.


  • Implementing data pipelines
  • Daily batch run implementation
  • Generating derived data feeds
  • Pipeline refactoring and optimization
  • Pipeline logging
  • Unit, integration and regression testing
  • Documentation of design, functionalities, tests
  • Design and management of data models and ontologies
  • Collaboration with business to generate new reports / insights


  • Over 6 years of experience working as a Data Analyst or Data Engineer
  • Solid knowledge with Python with over 4 years of experience
  • Experience of working with PySpark or other distributed computing tools (Cloudera, HDFS) highly beneficial
  • Experience of working in the banking industry
  • Experience of working in an agile environment
  • Team player
  • Working experience with Data Models and Database design
  • Experience with Data Discovery and Data Cleaning on new data including Extract, Transform and Load (ETL)
  • Excellent communication in English and stakeholder management skills

Interested in this opportunity? Kindly send us your CV today through the link in the advert. However should you have any questions please contact Sophia Biafora on +41 44 229 99 40.

Even though this position may not be the perfect fit for you, please reach out to us, as we have hundreds of open positions at Experis IT across Switzerland.

Check out all of Experis' job openings at or visit my personal page and connect to me on LinkedIn.

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