Friendsurance has with international acknowledgement pioneered and inspired global trends in Insurtech since 2010. As the inventor of peer-to-peer insurance, Friendsurance developed the claims-free bonus. With the new brand Friendsurance Business, we are pioneering another mission: the digitisation of insurance services for banks or insurance companies and their customers. Through partnerships with leading banks and insurance companies like Deutsche Bank and R+V, we make a smart home for insurance available directly in these partners digital solutions. Through our sophisticated, scalable and modular insurance platform we aim to make insurance more customer friendly.

We are over 100 team members from more than 20 nations working from our headquarters in Berlin and from other external bases. We take pride in our agile culture. We have been part of Berlin's top employer and office ratings for several years.

We are looking for a Data Team Lead (m/f/d)

This is a full time position, working as part of a strong and growing Data Team on site in Berlin. Data is the true core of our insurance business model and thus one of the most significant factors for the future success of Friendsurance.

Your Tasks & Responsibility

  • Help to define and implement our company-wide data strategy by defining solutions which fulfill our strategic and operational needs
  • Make Friendsurance even more data-driven organization
  • Maintain, develop and support all data topics in the company including Data Analytics, Data Engineering and Data Science
  • Establish, improve and support agile processes
  • Define and implement the processes around Data Governance and Data Quality
  • Support important strategic projects for Product, Marketing, CRM and other departments from data and technology perspectives
  • Build, lead, inspire and develop growing Data Team in Friendsurance
  • Provide hands-on technical data solutions to farther growing the business
  • Invest time in personal development of your team members and help them grow
  • You will be reporting directly to CTO


Your profile

  • 3+ years of experience in a data leadership role (team sizes of 3+ members)
  • 3+ years of hands-on implementation experience in the field of data engineering or data science, preferably having delivered data solutions end to end
  • Up to date knowledge about current Data, ML and Analytics tools and their applications
  • Hands-on capabilities in creating products with a great user experience. You can define, develop and advocate a data product roadmap, have a progressive approach and the ability to introduce and inspire change
  • Deep understanding of the requirements of key data stakeholders and ability to translate it to an actionable plan for data scientists, data engineers or data analysts
  • Commitment to Data Engineering and Business Intelligence best practices
  • Strong analytical skills with an ability to sense and develop new business opportunities
  • Track record of excellent communication and collaboration skills in an international environment.
  • Highly professional leadership skills and high level of commitment
  • Experience with AWS (Kinesis, Sagemaker and other) technologies, MSSQL (MS SQL DB, SSIS, SSAS, SSRS) stack; and other data related tooling landscape(e.g. Databricks, Tableau, Snowplow, Segment, Looker and other) is a big plus
  • Experience in web and app tracking (e.g. Google Analytics, Matomo, Adjust)
  • Highly proficient with SQL, Python
  • Experience with Fintech or Insurtech is a big plus
  • Fluent in English, German is preferrable


Our Offer

  • Be part of a pioneering team fearless of change
  • Go to work in a team where high level of qualifications and soft skills are equally cherished 
  • Work in an agile environment
  • Experience flexibility when you need it 
  • Have your personal development plan
  • Move forward with cutting edge innovative technologies 
  • Go home with attractive salary and perspectives
  • Work in a fast-moving team that feels like family

For further questions, please contact Clara Kiani at We are looking forward to your application!

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