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Ringier is a diversified media company with about 7,300 employees across 19 countries. Founded in 1833, Ringier manages leading brands in print, TV, radio, online and mobile media and runs successful print, entertainment and internet businesses. In a history that spans more than 180 years, Ringier stands for a pioneering spirit, independence, freedom of expression and diversity of information. Ringier is a Swiss family-owned business with head offices in Zurich.
Ringier Data Technology Department is part of the Ringier International Technology and Data Unit, driving our customer data platform "Star" (formerly known as Sherlock) for personalization, cross-brand recommendation, and monetization. To further accelerate the development and adoption of the award-winning data platform, the DataTech department is recruiting a

Data Engineer 80-100% (f/m/d)

  • Work in a lean, agile and highly motivated team of international data engineers
  • Work on state of the art data engineering framework
  • Flexible place of work
  • Bring in your own ideas and be part of the decision making
Role and Responsibilities
  • Analyze data of online customers across Ringier's brands and make user behavior and intent comprehensible for business stakeholders
  • Collaborate within a cross-functional international team to design and implement data engineering solutions
  • Be comfortable with using PySpark based tooling for your daily routine
  • Learn additional skills to design complex data processing and machine learning pipelines
  • Communicate and collaborate with stakeholders in German and English
Education and Experience
  • Proficiency in Python and SQL, possibly Java or Scala
  • Knowledge of PySpark for distributed computation
  • Proven knowledge of development best practices
  • Experience with Agile methodology and problem-centric solution design
  • A pragmatic mindset, not afraid of making mistakes, and learning from them
  • Fluency in German and English
Interested? We are looking forward to your online application.

We only consider direct applications for this position.