Die KI-Suchmaschine für Jobs
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- 5 - 7 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- PySpark
- SQL
- AWS
- S3
- MS SQL DB
- SSIS
- SSAS
- SSRS
- Kafka
- DataBricks
- Snowflake
- dbt
- Segment
- Terraform
- Google Analytics
- Matomo
Benefits
Flexibles Arbeiten
- Flexible working hours
- Mobile work
Attraktive Vergütung
- Attractive salary
Modernes Büro
- Office in Berlin-Kreuzberg
Sonstige Zulagen
- Yearly personal development budget
Team Events & Ausflüge
- Team events and parties
Gesundheits- & Fitnessangebote
- Urban Sports Membership subsidy
Weiterbildungsangebote
- Language learning support
Lockere Unternehmenskultur
- International team
Noch nicht perfekt?
- Arsipa GmbHVollzeitmit HomeofficeSeniorBerlin
- 4flow SE
Senior Data Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - RepRisk AG
Senior Data Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - yoummday
Senior Data Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin, München, Halle (Saale) - E.ON Digital Technology GmbH
(Senior) Data Engineer Data & AI(m/w/x)
Vollzeit/Teilzeitmit HomeofficeSeniorEssen, Hannover, München, Berlin, Hamburg, Frankfurt am Main
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- 5 - 7 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- PySpark
- SQL
- AWS
- S3
- MS SQL DB
- SSIS
- SSAS
- SSRS
- Kafka
- DataBricks
- Snowflake
- dbt
- Segment
- Terraform
- Google Analytics
- Matomo
Benefits
Flexibles Arbeiten
- Flexible working hours
- Mobile work
Attraktive Vergütung
- Attractive salary
Modernes Büro
- Office in Berlin-Kreuzberg
Sonstige Zulagen
- Yearly personal development budget
Team Events & Ausflüge
- Team events and parties
Gesundheits- & Fitnessangebote
- Urban Sports Membership subsidy
Weiterbildungsangebote
- Language learning support
Lockere Unternehmenskultur
- International team
Über das Unternehmen
Friendsurance
Branche
Insurance
Beschreibung
Das Unternehmen bietet digitale Lösungen für die Versicherungsbranche und ist Europas führender Anbieter im Bereich Digitaler Bancassurance.
Noch nicht perfekt?
- Arsipa GmbH
Senior Data Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - 4flow SE
Senior Data Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - RepRisk AG
Senior Data Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - yoummday
Senior Data Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin, München, Halle (Saale) - E.ON Digital Technology GmbH
(Senior) Data Engineer Data & AI(m/w/x)
Vollzeit/Teilzeitmit HomeofficeSeniorEssen, Hannover, München, Berlin, Hamburg, Frankfurt am Main