Friendsurance
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.
You are a savvy Data Engineer (m/f/d), who will be responsible for optimizing and expanding our data and data pipeline architecture. You will also work cross-functionally to create data products that our stakeholders can use to make informed decisions and will dive deeply into understanding and transforming our data into clean, efficient data models that will power Data Science and Analytics platforms.
You will design and build new data platform from scratch including Data Lake with the use of top innovative tools on the market
You will ingest and aggregate data from both internal and external data sources to build our world class datasets
You will help with data related topics for building reports and dashboards on demand for C-Level, Marketing, Product and other departments
You will use your analytical skills combined with mathematical, statistical and experimental tools and techniques to provide data driven conclusions and recommendations
You will definitely work closely with the Tech, Product and other teams on data related topics
It would be awesome if you could follow the Business Intelligence and Data trends in innovation and provide the guidance for improvements in data team
You will build data pipelines, products and participate in machine learning projects on new platform
You will build and support data and business Intelligence products in MS SQL Stack (MS SQL, SSIS, SSAS, SSRS)
You have 4 years of experience in business intelligence and data engineering
You have worked with modern data platforms
You have experience in working with AWS Data Engineering technologies(S3, Glue, Redshift and other)
Experience with MSSQL Stack (MS SQL DB, SSIS, SSAS, SSRS) is positively valued.
You have experience working with SQL, Python. Flask and PySpark are a nice to have.
You understand Data Engineering and Business Intelligence best practices.
You are up to date knowledge about current Data & Business Intelligence tools and their applications
You are highly professional, have great team collaboration skills and have a high level of commitment
Preferably with degree in business informatics, economics, mathematics or equivalent area
Experience with any of the tools like Kafka, DataBricks, Snowflake, dbt, Segment, Airflow is a big plus
Experience in web and app tracking (e.g. Google Analytics, Matomo) is a plus
Experience with Fintech or Insurtech is a plus
Experience with data science and machine learning is a plus
Experience with Analytical approaches or previous Analyst positions is a plus
Fluent in English, German is a plus
By the way - You don’t need to check all the boxes. We want to meet YOU!
We love what we do and what we build. We care about our amazing team. We value each team member and develop their unique talents.
We want to make sure that everyone counts and everyone can thrive. Ambition, kindness and care are at the core of Friendsurance’s heart.
We are a strong team of 50+ engineers who are obsessed with technology and customers. Our Chief Tech Officer is in the top 25 Fintech CTOs in the world, driving and supporting us to reach our potential. In 6 cross-functional teams we leverage the latest technologies and strive for simplicity and scalability. We deliver solutions in Agile cycles together with the biggest partners in the industry.
Our Tech Radar: https://tech.friendsurance.de/
Friendsurance is a Berlin-based Insurtech co
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