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Senior Data Engineer(m/w/x)
Designing, implementing data platforms with Databricks, Snowflake, AWS at European leader in Digital Bancassurance. 5+ years data engineering, 3+ years SQL/PySpark experience required. Flexible working hours, mobile work.
Requirements
- Experience handling complex data sets
- 5+ years data engineering experience
- 3+ years SQL and PySpark experience
- Experience implementing modern data platforms
- Experience with AWS Data Engineering
- Valued experience with MSSQL Stack
- Experience with Kafka or Snowflake
- Practical application of AI tools
- Professionalism and team collaboration skills
- Experience with multicultural collaboration
- Experience with web tracking tools
- Experience in Fintech or Insurtech
- Experience with machine learning
- Experience with analytical approaches
- Fluent English communication
Tasks
- Design and implement a well-architected data platform
- Utilize market-leading technologies like Databricks and Snowflake
- Accelerate migrations from legacy systems to new platforms
- Ingest and aggregate internal and external data sources
- Build robust datasets and data pipelines
- Develop data-powered products
- Enable reporting and dashboarding through engineering support
- Improve data analyst productivity and self-service capabilities
- Collaborate with cross-functional tech teams on architecture
- Drive excellence in engineering and planning
- Mentor the data team on trends and best practices
- Participate in machine learning and AI initiatives
- Foster a productive and healthy team atmosphere
Work Experience
- 5 - 7 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PySpark
- SQL
- AWS
- S3
- MS SQL DB
- SSIS
- SSAS
- SSRS
- Kafka
- DataBricks
- Snowflake
- dbt
- Segment
- Terraform
- Google Analytics
- Matomo
Benefits
Flexible Working
- Flexible working hours
- Mobile work
Competitive Pay
- Attractive salary
Modern Office
- Office in Berlin-Kreuzberg
Additional Allowances
- Yearly personal development budget
Team Events
- Team events and parties
Healthcare & Fitness
- Urban Sports Membership subsidy
Learning & Development
- Language learning support
Informal Culture
- International team
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Senior Data Engineer(m/w/x)
Designing, implementing data platforms with Databricks, Snowflake, AWS at European leader in Digital Bancassurance. 5+ years data engineering, 3+ years SQL/PySpark experience required. Flexible working hours, mobile work.
Requirements
- Experience handling complex data sets
- 5+ years data engineering experience
- 3+ years SQL and PySpark experience
- Experience implementing modern data platforms
- Experience with AWS Data Engineering
- Valued experience with MSSQL Stack
- Experience with Kafka or Snowflake
- Practical application of AI tools
- Professionalism and team collaboration skills
- Experience with multicultural collaboration
- Experience with web tracking tools
- Experience in Fintech or Insurtech
- Experience with machine learning
- Experience with analytical approaches
- Fluent English communication
Tasks
- Design and implement a well-architected data platform
- Utilize market-leading technologies like Databricks and Snowflake
- Accelerate migrations from legacy systems to new platforms
- Ingest and aggregate internal and external data sources
- Build robust datasets and data pipelines
- Develop data-powered products
- Enable reporting and dashboarding through engineering support
- Improve data analyst productivity and self-service capabilities
- Collaborate with cross-functional tech teams on architecture
- Drive excellence in engineering and planning
- Mentor the data team on trends and best practices
- Participate in machine learning and AI initiatives
- Foster a productive and healthy team atmosphere
Work Experience
- 5 - 7 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PySpark
- SQL
- AWS
- S3
- MS SQL DB
- SSIS
- SSAS
- SSRS
- Kafka
- DataBricks
- Snowflake
- dbt
- Segment
- Terraform
- Google Analytics
- Matomo
Benefits
Flexible Working
- Flexible working hours
- Mobile work
Competitive Pay
- Attractive salary
Modern Office
- Office in Berlin-Kreuzberg
Additional Allowances
- Yearly personal development budget
Team Events
- Team events and parties
Healthcare & Fitness
- Urban Sports Membership subsidy
Learning & Development
- Language learning support
Informal Culture
- International team
About the Company
Friendsurance
Industry
Insurance
Description
Das Unternehmen bietet digitale Lösungen für die Versicherungsbranche und ist Europas führender Anbieter im Bereich Digitaler Bancassurance.
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