Logo Allianz Gruppe in Österreich

Senior Data Engineer

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Job

  • Level
    Senior
  • Job Field
    BI, Data
  • Employment Type
    Full Time
  • Contract Type
    Permanent employment
  • Salary
    from 60.000 € gross/year
  • Location
    Vienna
  • Working Model
    Hybrid, Onsite
  • Job Summary

    In this role, you will develop innovative data architectures and optimize ELT/ETL processes. You will create data models to support enterprise-wide analyses and collaborate closely with stakeholders from various areas.

    Job Technologies

    Your role in the team

    • Design and development of future-proof data architectures in cross-functional teams of insurance technology as well as in close collaboration with other departments.
    • Ensuring an adequate data basis and meaningful key figures for corporate management.
    • Creation and optimization of data models and data pipelines to support enterprise-wide analytics.
    • Continuous improvement of ELT/ETL processes for efficient and reliable data processing.
    • Active use of AI and Machine Learning algorithms as well as driving process automation - especially through the use of AI.
    • Support for Data Scientists and Analysts in data initiatives and data-driven projects.

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    Our expectations of you

    Education

    • Completed degree in Computer Science, Computer Engineering, Data Engineering, or a related STEM field is an advantage.

    Qualifications

    • Deep understanding of databases and data modeling, combined with solid knowledge in data collection and integration, data security, data quality and accuracy, data migration, in tools and processes.
    • Strong analytical skills combined with a solution-oriented, creative mindset and excellent communication skills in dealing with various stakeholders in fluent German and English.
    • Independent work and a strong interest in lifelong learning with new technologies and methods, especially in the field of Artificial Intelligence.

    Experience

    • At least 3-5 years of relevant professional experience working with and processing large data sets using Big Data frameworks, particularly PySpark in Databricks, Azure Synapse, or Fabrics.
    • Excellent knowledge of Python and the core Data Science libraries (Pandas, NumPy, Scikit-Learn) as well as experience with DevOps practices (e.g., CI/CD pipelines, Git).

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    What we offer

    • Successful collaboration within one of the world's largest insurance companies and a Great Place to Work®.
    • State-of-the-art office in the Icon Tower - directly at Vienna Main Station.
    • Personal development is highly valued by us.
    • Excellent training and e-learning opportunities.
    • Discounted rates on insurance.
    • Employee Stock Program.
    • Corporate Volunteering.
    • Diverse sports and health offerings.
    • We celebrate our successes.
    • Start date: immediately.
    • Working hours: 38.5 hours per week.
    • Work location: THE ICON VIENNA, Wiedner Gürtel 9-13, 1100 Vienna, as well as home office.
    • Annual gross salary: EUR 60,000, depending on qualifications. Willingness to pay above this amount.

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    Benefits

    Higher Take-Home Pay

    Work-Life-Integration

    Health, Fitness & Fun

    Food & Drink

    Topics You Will Work On

    Job Locations

    • Location Vienna

      Austria

    About Your Employer

    Allianz Gruppe in Österreich

    Allianz Gruppe in Österreich

    Wien

    The Allianz Group is a global financial services provider, with operations in more than 70 countries around the world. The Austrian subsidiary of Allianz is part of the holding company headquartered in Munich, Germany.

    Description

  • Founding Year
    1860
  • Language
    English
  • Company Type
    Established Company
  • Working Model
    Full Remote, Hybrid, Onsite
  • Industry
    Banking, Finance, Insurance
  • Logo Allianz Gruppe in Österreich

    Senior Data Engineer

    Salary
    from 60.000 € gross/yearEstimated net salary based on the gross salary in the job ad.from 41.102 € net/year
    Location
    Vienna
    Working Model
    Hybrid, Onsite
    Diversity
    Open for all genders

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