This Job Vacancy has Expired!

Senior Data Engineer Python/PySpark

Posted on Aug 21, 2020 by Experis AG

Zürich, Switzerland
Immediate Start
Annual Salary

Senior Data 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


  • At least 5 years of experience in Data Engineering/Data Science role

  • Deep knowledge of Datamodelling and Database design

  • Significant working experience with non-relational & relational databases (SQL, MySQL, NoSQL, Hadoop, MongoDB, etc.)

  • Experience implementing algorithm

  • Experience with Spark, or the Hadoop ecosystem and similar frameworks

  • Significant working experience building complex Extract, Transform and Load (ETL) processes

  • High proficiency in PySpark and Python

  • Familiarity with Big data technologies

  • Familiarity with Data Discovery and Analysis Techniques

  • Ability to work in Teams in an agile setting

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 (see below).

Reference: 932446252

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