Logo MÜNCHENER VEREIN Versicherungsgruppe

Senior Data Engineer

Job

  • Level
    Senior
  • Job Field
    Data
  • Employment Type
    Full Time
  • Contract Type
    Permanent employment
  • Location
    Munich
  • Working Model
    Hybrid, Onsite
  • Job Summary

    In this role, you will develop modern data architectures and design data pipelines for the integration and transformation of data from various sources for decision-relevant analyses.

    Job Technologies

    Your role in the team

    • You will take the lead in the strategic development and further enhancement of our operational and analytical data and data integration architecture.
    • You select modern, cloud-enabled technologies, implement them, and are responsible for consolidating our data systems.
    • They design and implement data pipelines for the integration, transformation, and delivery of data from various sources.
    • In close coordination with the Enterprise Architect and cross-functional teams (e.g., application development, IT operations, Data Science), you lay the foundation for data-driven decisions.
    • They assist in the implementation of data governance policies and processes to ensure the highest data quality and consistency.
    • They identify and highlight optimization potentials in the existing data landscape.
    • As a mentor and coach, you will pass on your knowledge to developers and junior Data Engineers, and help us build the Data Engineering department together.
    • They act as competent advisors for our specialist departments on the topic of data.

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    Our expectations of you

    Education

    • A completed degree in Computer Science, Data Science, or a comparable field of study.

    Qualifications

    • Expertise in designing and implementing data pipelines using technologies such as Apache Kafka, Spark, Flink, Iceberg, as well as in Data Lakehouse architectures.
    • Proficient handling of relational and non-relational database systems as well as object storage.
    • Good knowledge in the areas of Data Governance and Data Quality.
    • Practical knowledge of Python or other scripting languages.
    • A highly developed analytical and structured way of thinking and working.
    • You are a strong communicator and can also explain complex technical concepts clearly.
    • Your German skills are business fluent, English is an advantage.

    Experience

    • Several years of solid professional experience as a Data Engineer, ideally with a focus on data architecture and integration.
    • Ideally, you already have experience in the insurance or financial industry.
    • Experience with open-source and cloud technologies.

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    What we offer

    • Long-term and secure employment in a traditional insurance company.
    • Excellent compensation including holiday and Christmas bonuses.
    • Workplace in the heart of Munich (5 minutes from the main train station).
    • Flexibility through flexible working hours and a hybrid work model with the possibility of working from home (50%).
    • Countless social benefits - including JobRad, our company canteen, transportation allowance, occupational pension scheme and health insurance, massage services, our exclusive MV housing exchange, and much more.

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    Benefits

    Work-Life-Integration

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    Job Locations

    • Location Munich

      Bayern

      Germany

    This is your employer

    MÜNCHENER VEREIN Versicherungsgruppe

    MÜNCHENER VEREIN Versicherungsgruppe

    Die Münchener Verein Versicherungsgruppe, gegründet 1922, ist ein bundesweit tätiger Versicherer mit den Sparten Kranken-, Pflege-, Lebens-, Renten- sowie Sach- und HUK-Versicherungen. Als Vorsorge- und Pflege-Spezialist bieten wir leistungsstarke und vielfach ausgezeichnete Versicherungsprodukte für den privaten und gewerblichen Bereich.

    Description

  • Founding year
    1922
  • Company Type
    Established Company
  • Working Model
    Hybrid, Onsite
  • Industry
    Banking, Finance, Insurance
  • Location
    Munich
    Working Model
    Hybrid, Onsite
    Diversity
    Open for all genders

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