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Data Engineer - Streaming & Analytics

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Job

  • Level
    Experienced
  • Job Field
    BI, Data
  • Employment Type
    Full Time
  • Contract Type
    Permanent employment
  • Salary
    from 55.198 € Gross/Year
  • Location
    Vienna
  • Working Model
    Onsite
  • Job Summary

    In this role, you will develop robust ETL/ELT data pipelines and enhance data architectures for analytics and AI applications while preparing complex datasets and ensuring data quality.

    Job Technologies

    Your role in the team

    • Become part of our team and work with modern Big Data and Cloud technologies on scalable data solutions.
    • Bring your experience in Data Engineering and develop innovative data-driven applications with us for millions of users — if transforming data into relevance is also what matters to you.
    • You design, develop, and operate robust ETL/ELT data pipelines for processing large volumes of media, streaming, and usage data.
    • You actively develop modern data architectures in the context of Data Lake, Data Warehouse, and cloud technologies.
    • You are responsible for preparing, modeling, and integrating complex datasets for analytics, reporting, and AI applications.
    • You automate monitoring processes, optimize data workflows, and ensure data quality — even under high system load such as during election nights or sporting events.
    • You work closely with specialist departments, Product Owners, and Data Scientists to implement journalistic and strategic requirements.
    • You share your knowledge internally and, if necessary, also conduct training sessions and technical workshops.

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    Our expectations of you

    Education

    • A completed technical apprenticeship or a degree with a focus on Computer Science, Data Science, or a comparable qualification — however, what is more important to us is your solid practical experience in the areas of Data Engineering, Data Integration, and Data Modeling.

    Qualifications

    • You have very good knowledge in handling Big Data technologies as well as modern cloud and data architectures.
    • You have strong communication skills and can explain complex technical concepts in an understandable manner.
    • You have a high quality awareness, initiative, and the ability to proactively identify and implement optimization potentials.

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    What we offer

    • Contribution to the technical infrastructure of one of Austria's largest media organizations.
    • A technologically exciting environment at the intersection of streaming, analytics, media production, and digital platforms.
    • We offer the security of a large organization combined with the agility of modern product development.
    • Opportunities for further education and specialization - professionally and personally.
    • A work environment with a high degree of personal responsibility.
    • Location: Vienna.
    • Working hours: 40 hours per week, regular shift.
    • Gross annual salary: According to KV14 in VG 6, at least €55,198.78 (including special payments), higher salary depending on experience and education.

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    Benefits

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    Job Locations

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    • Location Vienna

      Austria

    This is your employer

    Österreichischer Rundfunk

    Österreichischer Rundfunk

    Wien

    The Austrian Broadcasting Corporation (ORF) is a public foundation with its main headquarters in Vienna. It's the biggest media provider in Austria and operates nine Regional Studios as well as one studio each in Bozen, Italy and Basel, Switzerland.

    Description

  • Company Type
    Established Company
  • Working Model
    Hybrid, Onsite
  • Industry
    Media, Publishing
  • Dev Reviews

    by devworkplaces.com

    Total

    (3 Reviews)
    3.9
    • Career Growth

      4.1
    • Workingconditions

      4.1
    • Engineering

      3.6
    • Culture

      3.8
    Show All Dev Reviews
    Logo Österreichischer Rundfunk

    Data Engineer - Streaming & Analytics

    Salary
    from 55.198 € Gross/Year
    Location
    Vienna
    Working Model
    Onsite
    Diversity
    Open for all genders

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