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Data & Integration Engineer - Microsoft Technology Stack

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Job

  • Level
    Experienced
  • Job Field
    BI, Data
  • Employment Type
    Full Time
  • Contract Type
    Permanent employment
  • Salary
    from 5.000 € Gross/Month
  • Location
    Parndorf/Pandrof
  • Working Model
    Hybrid, Onsite
  • Job Summary

    In this role, you will develop data integration solutions, optimize data flows using Azure Data Factory, create and maintain Power BI reports, and ensure compliance with data governance standards.

    Job Technologies

    Your role in the team

    We are looking for you as a central IT expert for our Data Integration & Warehouse platform.

    Together with our project team, you ensure that data from our systems is reliably consolidated, integrated into our internal data warehouse, and prepared into meaningful reports for the business units.

    You play a key role in shaping the future-proof design of the implemented platforms and their architectures, contribute your own ideas, and drive technological progress.

    You are responsible for implementing data reconciliation between our cloud and on-premise systems.

    Your responsibilities include:

    • You will fill and develop our Data Integration Layer as well as our Data Warehouse (Microsoft Synapse).
    • The design and optimization of data flows with Azure Data Factory and Synapse Pipelines are also an important part of your responsibilities.
    • You create and optimize data models for efficient analyses, but you also build and maintain Power BI reports and dashboards for the business units.
    • You actively support us in implementing data governance and security standards (such as GDPR, NIS2).
    • Additionally, you document data flows, interfaces, and processes, analyze existing solution proposals and architectures, and provide constructive suggestions for optimization.

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    Our expectations of you

    Education

    • You have successfully completed your degree with a focus on IT and have already gained several years of professional experience in a comparable position.

    Qualifications

    • Data modeling (e.g., Star Schema, Data Vault) is familiar to you.
    • You possess analytical thinking and enjoy working with data; in addition, you have very good German and English skills.
    • Team spirit is highly valued with us — and with you as well.

    Experience

    • You have experience with Microsoft Synapse Analytics and Azure Data Factory and are confident in working with SQL, as well as with relational and non-relational databases.
    • You are proficient in Power BI (data modeling, visualization, DAX) and have practical experience with scripting and programming languages (e.g., Python).
    • You have a particular advantage if you also have experience with cloud data architectures and data lakes, knowledge in data governance, security & compliance, as well as Microsoft certifications in the Azure or data domain (e.g., DP-203, DP-500), and if you are interested in AI deployment and familiar with alternative technologies such as Microsoft Fabric and Google BigQuery.

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    Benefits

    Work-Life-Integration

    Health, Fitness & Fun

    Job Locations

    Map of company locations
    • Location Parndorf/Pandrof

      Location Parndorf/Pandrof

      7111 Burgenland

      Austria

    Topics that you deal with on the job

    This is your employer

    PÜSPÖK

    PÜSPÖK

    Puespoek sind ein Familienunternehmen und beschäftigen sich seit 1997 mit der Entwicklung und Errichtung von Windparks im Burgenland. Es zählen auch die Stromvermarktung, die Umsetzung von Repowering-Projekten (Erneuerung von Kraftwerken) sowie die Entwicklung und der Betrieb von Photovoltaik-Projekten zu den wesentlichen Aufgabenbereichen.

    Description

  • Company Type
    Established Company
  • Working Model
    Hybrid, Onsite
  • Industry
    Power Sector, Economy
  • Logo PÜSPÖK

    Data & Integration Engineer - Microsoft Technology Stack

    Salary
    from 5.000 € Gross/Month
    Location
    Parndorf/Pandrof
    Working Model
    Hybrid, Onsite

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