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Student trainee at Microsoft Data Analytics & AI

New

Job

  • Level
    Junior
  • Job Field
    BI, Data
  • Employment Type
    Part Time/Full Time
  • Contract Type
    Internship / school internship
  • Location
    Hamburg
  • Working Model
    Hybrid, Onsite
  • Job Summary

    In this role, you will assist the team in developing data engineering and AI solutions, as well as implementing modern data platforms using Microsoft Fabric, Azure AI, and other tools.

    Job Technologies

    Your role in the team

    • We are looking for you to join our team in Hamburg as soon as possible.
    • Excellent opportunity to explore the profession of Data Analysts, Data Engineers, and AI Consultants in all its facets.
    • Onboarding, workshops, and recognized Microsoft certifications enhance your qualifications.
    • Full integration into the consulting team and participation in projects with direct client contact.
    • Discover how we provide real added value to our clients with Microsoft Fabric, Copilot, Copilot Studio, Azure AI, and AI Agents.
    • Get to know modern data platforms and support the development of data engineering, analytics, and AI solutions.
    • Gain insights into the development of modern AI applications based on Azure AI, Azure AI Foundry, Copilot Studio, and Generative AI.
    • Assist in the development of modern data platforms with Microsoft Fabric and learn about the construction of Data Warehouses, Lakehouses, and data integration processes.
    • Independent work and responsibility included.
    • Do you need support with your Bachelor's or Master's thesis? We're here to help!
    • If it is suitable for both parties, a direct transition to a permanent position after the successful completion of your studies.

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    Our expectations of you

    Qualifications

    • You are studying Business Informatics, Computer Science, or a comparable degree program with a focus on IT.
    • You are interested in business processes as well as their analysis, digitalization, and data-driven optimization.
    • You understand the value of modern data platforms, analytics, and artificial intelligence for businesses.
    • Ideally, you are interested in topics such as Data Engineering, Cloud Technologies, Microsoft Fabric, AI Agents, Machine Learning, Generative AI, or Copilot solutions.
    • Initial contact with modern Data & AI platforms such as Azure, Azure AI Foundry, or Copilot Studio is advantageous.
    • As an aspiring consultant, you need to provide good advice, so excellent spoken and written German skills are a must.
    • You communicate openly and clearly as an aspiring consultant, are solution-oriented and flexible.

    Experience

    • You have already gained initial experience with data platforms and tools such as Microsoft Fabric, Databricks, Snowflake, Power BI, SQL, or Python.

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    What we offer

    • Your work and study time are optimally compatible with us.
    • Opportunity to work remotely.
    • Fair compensation above the minimum wage.
    • Modern work tools are provided.
    • Benefits such as employee discounts or a subsidy for your sports membership.
    • At company events and regular get-togethers, you can get to know your colleagues even better.
    • As an international software service provider, we offer extensive development opportunities.

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    Benefits

    Work-Life-Integration

    Topics You Will Work On

    Job Locations

    • Location Hamburg

      Germany

    About Your Employer

    Prodware Deutschland AG

    Prodware Deutschland AG

    Prodware Group, founded in 1989 and with its headquarters in Paris, develops, integrates and hosts IT solutions for businesses. As Microsoft EMEA's first partner, Prodware takes a leading role in the development of global solutions.

    Description

  • Company Size
    50-249 Employees
  • Company Type
    Established Company
  • Working Model
    Hybrid, Onsite
  • Industry
    Internet, IT, Telecommunication
  • Logo Prodware Deutschland AG

    Student trainee at Microsoft Data Analytics & AI

    Location
    Hamburg
    Working Model
    Hybrid, Onsite
    Diversity
    Open for all genders

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