SHARE NOW stands for the world’s first free-floating car-sharing service – the biggest innovation in the car business since the invention of the car. We come from a long line of pioneers in the car-making industry and challenging the status quo is how we like to play. Our mission now is personal freedom: To make it possible for anybody to drive in the city without breaking the bank – or the environment. 

Our global headquarters is in Berlin, Germany, and we operate in both Europe and North America. We offer an exciting, fast-growing environment in which everyone has equal opportunity to bring ideas to the table. We believe the future is about personal freedom and that everyone has a role to play. We are more than 500 employees of over 30 nationalities spread out across the globe. You could be one of them.


  • The ability to work autonomously in an agile and creative environment, where every idea matters
  • Internal and external development possibilities for personal and professional growth
  • Monthly Mobility Allowance for your own SHARE NOW experience
  • Company pension, flexible working hours and 30 days of paid vacation days per year
  • Hot and cold drinks, snacks and fresh fruits to keep your energy levels up
  • Informal atmosphere, Welcome Days and global Townhall meetings


  • As part of the Data Products Chapter at SHARE NOW, you will help architect, maintain and create value from data infrastructure in the Amazon cloud
  • You will work with diverse development squads across the product creation organization to enable the ingestion of all data being generated, and enable development teams build data driven products
  • You will work closely with data scientists to architect and deploy machine learning products to the cloud
  • You will work closely with business intelligence teams to assist in provisioning of the business data-warehouse from the data lake
  • You will work with automated reporting teams to assist in visualization and monitoring tasks


  • You have experience architecting and deploying production serverless data infrastructure to the cloud (AWS/Azure) using terraform (or similar)
  • You have experience with CI/CD pipelines and workflows
  • You have experience with ETL work in relational and non-relational databases
  • You have experience managing big data infrastructure (Hadoop and friends) and an understanding of the ecosystem
  • You have experience working with data scientists and interest in data science
  • You have experience with real time data streaming (Kafka, Kinesis and friends)
  • You have an analytical mind, and like working as part of a team, enjoy actively sharing knowledge and are keen to contribute your own ideas and expertise
  • You have some familiarity with Python, SQL, R and other commonly used languages in the world of data


  • Experience with data governance (familiar with GDPR concepts and handling sensitive data)
  • AWS certification, experience with current AWS ecosystem
  • Experience with terraform
  • Experience with data munging at scale (with scala or java or spark)
  • Experience with setting up and running relational databases in the cloud

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