Data Engineer (m/f/d)

We believe that dealing with insurance should bring a smile to your face. We build the most intuitive platforms, making insurance all about the customer.

For the data team in our 30+ people strong tech department, we are looking for a new Data Engineer (f/d/m), who shares our passion and professionalism. As a diverse group, we know how to work sustainably and agile, both on-site and remote.

• Design and implement a new and well-architected data platform, utilizing market-leading technologies and Platforms (DataBricks, Snowflake, etc.)

• Help accelerate our ongoing migration from legacy data systems (MS SQL, SSIS, SSAS, SSRS) to the new platform

• Ingest and aggregate data from both internal and external data sources to build our datasets

• Help with data-related engineering topics to enable reporting and dashboarding

• Improve the productivity of data analysts and enable a higher degree of self-service

• Build data pipelines and data-powered products

• Work closely with cross-functional tech teams and drive excellence in our engineering, planning, and architecture

• Inspire, guide, and teach professionals in the data team and beyond, about valuable trends and best practices in data engineering

• Participate in machine learning, data science, and AI initiatives together with other professional team members

• Support our amazing culture where we care about our customers and a productive and healthy team atmosphere.

You are an accomplished Data Engineer (m/f/d) with a wide and deep experience handling large or complex data sets in Python and PySpark as well as other relevant data engineering technologies in a team environment.

• 3+ years of professional experience in data engineering and business intelligence

• 3+ Years of professional experience with SQL, Python, and PySpark

• Experience designing and implementing or significantly extending modern data platforms

• Experience working with AWS Data Engineering technologies (S3, and others)

• Experience with MSSQL Stack (MS SQL DB, SSIS, SSAS, SSRS) is valued

• Experience with Kafka, DataBricks, Snowflake, dbt, Segment, and Terraform is a big plus

• Know how to apply AI tools practically—for your own productivity and in what you build.

• Highly professional, self-reflective attitude, have great team collaboration skills and have a high level of commitment

• Worked successfully with colleagues from different cultural backgrounds

• Experience on the topics of web and app tracking (e.g. Google Analytics, Matomo) is a plus 

• Experience in Fintech or Insurtech industry is a plus

• Experience with data science and machine learning is a plus

• Experience with Analytical approaches or previous Analyst positions is a plus

• Communicate fluently in English

By the way -  You don’t need to check all the boxes. We want to meet YOU! 

We are a tight-knit group in a founder-owned “grown-up” startup. We love what we do and what we build and we care about our amazing team. We value each team member and develop their unique talents.

At Friendsurance, we believe that today's social structures disproportionately disadvantage people from marginalized populations - including people of color, people with disabilities, working-class people, single parents, women, and members of LGBTQIA+ communities. We also believe that these groups need to be actively included in the workforce. Therefore, we strongly encourage people with these identities or members of other marginalized communities to apply. We do not require a photo or information about your gender/sex or marital status for our application process.

• Attractive salary and vacation policy

• Flexible working hours and mobile- work, with the clear expectation that everyone joins a monthly in-person Office-Day at our Berlin HQ.  

• A big and lovely designed office in Berlin-Kreuzberg with plenty of rooms for creativity and the typical startup amenities

• A generous yearly personal development budget

• Legendary team events and parties

• Urban Sports Membership subsidy

• Language learning support for German and English

• A unique and international team

• And much more!

Sounds interesting? We are very much looking forward to your application ❤️