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Senior Data & AI Engineer - Databricks

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Job

  • Level
    Senior
  • Job Field
    BI, Data
  • Employment Type
    Full Time
  • Contract Type
    Permanent employment
  • Salary
    from 76.200 € Gross/Year
  • Location
    Klagenfurt
  • Working Model
    Onsite
  • Job Summary

    In this role, you will develop modern data platforms using Databricks and Azure, optimize ETL pipelines, and implement scalable data architectures for AI and analytics applications.

    Job Technologies

    Your role in the team

    • Do you want to design modern data platforms and help companies unlock the full potential of their data? At Imendo, you can expect exciting tasks related to Databricks, Fabric, and Azure.
    • Together with our team, you will develop scalable data and AI solutions, modern Lakehouse architectures, and powerful data pipelines for demanding analytics and AI use cases.
    • Development, construction, and further development of modern data platforms based on Databricks, Microsoft Fabric, and Microsoft Azure.
    • Design, implementation, and optimization of scalable ETL/ELT data pipelines.
    • Integration, processing, and provisioning of structured and unstructured data from various source systems.
    • Development and operation of modern Data Warehouse, Data Lake, and Lakehouse architectures.
    • Ensuring data quality, performance, monitoring, and stability of the data platform.
    • Implementation of data models as well as support for reporting, analytics, and AI use cases.
    • Automation of deployments and data processes using CI/CD and modern DevOps practices.
    • Support in architecture decisions as well as continuous development of the existing cloud and data landscape.

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    Our expectations of you

    Education

    • Degree in Computer Science, Business Informatics, or a comparable education or qualification.

    Qualifications

    • Solid knowledge in the Data & AI environment, especially with Databricks and Microsoft Fabric.
    • Analytical, structured, and solution-oriented working style with a high degree of personal responsibility.
    • Strong team skills as well as a modern DevOps understanding with a focus on automation and CI/CD.
    • German and very good English skills, both written and spoken.

    Experience

    • Several years of practical experience in building and operating modern data platforms as well as in the areas of Cloud, Data Warehouse, Data Lake, and Data Management.
    • Very good understanding of modern cloud architectures as well as practical experience with Microsoft Azure.
    • Experience with data integration, ETL/ELT processes, and handling large data volumes.

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    What we offer

    • For this position, based on full-time employment, an entry-level salary of at least 76,200 euros gross per year applies.
    • Depending on your qualifications and experience, there is a willingness to offer above-market pay – we are happy to discuss your actual salary in person!

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    Benefits

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    Job Locations

    Map of company locations
    • Location Klagenfurt

      Kärnten

      Austria

    This is your employer

    IMENDO GmbH

    IMENDO GmbH

    Klagenfurt

    IMENDO is an independent company headquartered in Klagenfurt am Wörthersee in the Lakeside Park. We specialize in designing and implementing enterprise solutions for industry and public institutions, including setting up and managing intranets and document management systems based on Microsoft SharePoint. Furthermore, we are a longstanding Microsoft Gold Partner.

    Description

  • Founding year
    2009
  • Company Type
    Established Company
  • Working Model
    Full Remote, Hybrid, Onsite
  • Industry
    Internet, IT, Telecommunication
  • Dev Reviews

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    Total

    (1 Review)
    4.9
    • Career Growth

      5.0
    • Culture

      5.0
    • Workingconditions

      5.0
    • Engineering

      4.8
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    Logo IMENDO GmbH

    Senior Data & AI Engineer - Databricks

    Salary
    from 76.200 € Gross/Year
    Location
    Klagenfurt
    Working Model
    Onsite
    Diversity
    Open for all genders

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