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.
12 years ago, Ringier took on the challenge to transform into a digital powerhouse. In 2016, Ringier established the Data Services department reporting directly to the group executive board, to unleash the power of technology and data to break the data silos of portfolio companies and enable a Ringier ecosystem. Embracing the agile methodology and engineering excellence principle, the Data Services department has built Sherlock Platform [cloud-native enterprise data hub with built-in Artificial Intelligence capabilities] to collect, consolidate, and understand data to generate business insights and value. The platform won several international BIGGIES and INMA prizes in 2018. To further accelerate the development and adoption of Sherlock platform, Ringier Data Services is recruiting:

Data Engineer (f/m)

Our offer
  • Experienced 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
Your job
  • 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
Your profile
  • 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
Are you interested? We are looking forward to your online application.