Data Engineer / Data Scientist - Python/SQL (7896)

  • iET SA
  • 8000 Zürich, ZH, Switzerland
  • 29/11/2021
Full time Data Engineering Data Analytics Business Intelligence Statistics

Job Description

For a project at our client's site, an international bank based in Zurich, we are looking for an experienced

Data Engineer / Data Scientist - Python/SQL

In this exciting role, you will be developing and operating data-driven solutions to support marketing and sales in very close collaboration with diverse stakeholders across the organization.
Your Qualifications:

  • 4+ years' experience as a Data Engineer with focus on a quantitative or technical field
  • Hands-on experience in building data pipelines and creating efficient data models for solving complex business problems
  • Recent hands-on experience with Python and well-versed with Python (Pandas, SQLAlchemy), SQL and Git
  • Good knowledge of data visualizations and Tableau software
  • Familiar working with dynamic and uncertain requirements
  • Knowledge of machine learning techniques
  • Experience with data analytics platforms such as Dataiku, Alteryx or Foundry is a plus
  • Teamplayer with an independent way of working and an analytical and innovative way of thinking
  • Fluent in English, German is a plus

Your Responsibilities:

  • Taking responsibility and operating the feature and lead generation pipeline in Dataiku (SQL & Python based)
  • Data quality checks and further optimizing pipelines
  • Responsible for lead distribution and load balancing
  • Contributing to the further development of the in-house applications and improving the quality and coverage of shared codebase (Python)
  • Developing machine learning models that deliver high-quality sales leads with direct revenue impact for all products across multiple channels, including client advisor and direct to client channels
  • Advising the stakeholders on analytics solutions and supporting data-driven decision making

Off to new destinations! Apply now directly on or contact our team on +41 44 485 44 99.