Data Engineer at Ringier

What will you do?

• Analyze data of online customers across Ringier’s brands and make user behaviour and intent comprehensible for business stakeholders
• Collaborate within a cross-functional international team to design and implement data engineering solutions
• Be comfortable with using Python and PySpark based tooling for your daily routine
• Learn additional skills to design complex data processing and machine learning pipelines
• Communicate and collaborate with various stakeholders

Our tech stack

• Pyspark/ Python
• Github / Github Actions / Jenkins
• AWS Lambda, EKS, EC2 and S3
• JIRA and Confluence

What will you bring?

• Relevant bachelor's degree or equivalent experience
• Minimum of 1+years of 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
• Strong communication and interpersonal skills
• You’re a team player, have great communication skills and are interested in technical things