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Data Engineer

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Job

  • Level
    Experienced
  • Job Field
    Data, Database
  • Employment Type
    Full Time
  • Contract Type
    Permanent employment
  • Salary
    from 60.000 € Gross/Year
  • Location
    Linz, Wels, Vienna
  • Working Model
    Hybrid, Onsite
  • Job Summary

    In this role, you will develop ETL/ELT pipelines for efficient data integration, build complex data products, and ensure data quality for consistent and usable data for BI tools through thorough quality checks.

    Job Technologies

    Your role in the team

    • You develop, implement, and maintain scalable ETL/ELT pipelines for data integration and actively support the migration.
    • You develop robust loading processes and interfaces to automate the extraction of raw data and load it into the data platform.
    • You make complex data sets usable for BI tools through intelligent transformations and sustainably simplify data structures.
    • You build new data products and continuously develop them within our modern cloud data platform.
    • You model, optimize, and document data models and data pipelines to provide reliable data for self-service analytics.
    • You perform data quality checks and ensure the timely delivery of consistent, error-free data across various systems.
    • You optimize existing data infrastructures in terms of performance, stability, and maintainability, ensuring secure data handling throughout the entire process.
    • You manage the technical interface to stakeholders, product owners, development teams, as well as BI colleagues, thereby ensuring the operational daily business in an agile environment (Scrum & Kanban).

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    Our expectations of you

    Qualifications

    • You possess solid programming skills in Python and a strong affinity for modern data platform development - ideally utilizing AI-powered tools.
    • You have good basic SQL skills and are proficient in handling relational databases.
    • You have a strong understanding of interfaces and enjoy building complex ETL/ELT pipelines and data integration platforms hands-on.
    • You have a precise, structured, and solution-oriented working style and the ability to translate technical requirements directly and pragmatically into stable data products.
    • You impress with strong communication skills in a technical context while maintaining a focused work style.
    • You possess business-fluent German and English skills.

    Experience

    • You have at least 3 years of professional experience in the Data Engineering environment or in a similar role (e.g., Data Engineer, Data Warehouse Engineer, Data Platform Engineer).
    • Ideally, you have experience with cloud-based data platforms such as Databricks or Google BigQuery, as well as with BI/visualization tools like Power BI.

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    What we offer

    • You can expect an annual gross salary starting at 60,000 EUR, with a clear willingness to pay above that if you impress with your experience and expertise.

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    Benefits

    Health, Fitness & Fun

    Food & Drink

    Work-Life-Integration

    More net

    Topics that you deal with on the job

    Job Locations

    Map of company locations
    • Location Wels

      4600 Oberösterreich

      Austria

    • Location Vienna

      Austria

    • Location Linz

      Oberösterreich

      Austria

    This is your employer

    XXXldigital

    XXXldigital

    Wels, Wien

    Together, we at xxxldigital are working towards the future of furniture retail. Not only do we work in teams, but we also live by them - through our unity, sense of community and willingness to learn. We contribute our own ideas and actively shape the future on all digital touchpoints.

    Description

  • Company Type
    Established Company
  • Working Model
    Full Remote, Hybrid, Onsite
  • Industry
    Advertising, Marketing, PR, Trade, Internet, IT, Telecommunication
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    Logo XXXldigital

    Data Engineer

    Salary
    from 60.000 € Gross/YearNet salary converted from the gross salary in the job ad.from 41.102 € net/Year
    Location
    Linz, Wels, Vienna
    Working Model
    Hybrid, Onsite
    Diversity
    Open for all genders

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