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Data & Analytics Engineer

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Job

  • Level
    Junior
  • Job Field
    Data, Application
  • Employment Type
    Full Time
  • Contract Type
    Permanent employment
  • Location
    Stuttgart
  • Working Model
    Hybrid, Onsite
  • Job Summary

    In this role, you define requirements with clients and implement modern data pipelines, develop custom solutions, and support data-driven decisions for complex logistics projects.

    Job Technologies

    Your role in the team

    • Together with the client, you define the needs that are relevant for the data projects.
    • You specify the technical aspects and implement data pipelines using modern technologies (Azure Cloud, Google Cloud, AWS, KNIME, etc.).
    • You develop customized solutions with intelligent algorithms for large datasets, from building the architecture to visualizing the results in meaningful dashboards.
    • You design and implement simulation and what-if models to evaluate and support complex supply chain and logistics decisions based on data.
    • You are part of a mixed team (Log-hub & client) and act as a liaison and translator between the business unit, IT, and solution development.
    • You enjoy immersing yourself in tactical and strategic Supply Chain & Logistics challenges — customized demand forecasting, automated route optimization, network design analyses, changing production sites based on the BOM, etc.

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    Our expectations of you

    Education

    • Completed degree (Computer Science, Business Informatics, Industrial Engineering, Mathematics, Physics, or similar) with a passion for quickly familiarizing oneself with new topics.

    Qualifications

    • Passion for innovative technologies, methods, and topics such as Data Engineering, Analytics, Machine Learning, AI, Big Data, Simulations, Cloud Platforms, as well as Agile working methods (e.g., Scrum).
    • Team player with strong communication skills who shares his expertise.
    • Professional demeanor and fluent German and English skills.

    Experience

    • Initial experience in Data Engineering/Analytics, e.g., through an internship or trainee program.
    • Initial experience with data technologies is advantageous, e.g., Microsoft Azure Synapse/Fabric, Databricks/Spark, Snowflake, Google BigLake, AWS Lake Formation, etc.

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    What we offer

    • Development + Perspective: Individual training and development opportunities based on your career aspirations, as well as the possibility to quickly take on responsibility.
    • 60-80% remote work with the work location in southern Germany or the German-speaking part of Switzerland, with flexible working hours.
    • BYOD allowance for customizing your workspace according to your individual needs.
    • Guaranteed variety: Different clients, topics, methods, and technologies — as a Data & Analytics Engineer, you won't get bored with us.

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    Benefits

    Work-Life-Integration

    Topics that you deal with on the job

    Job Locations

    • Location Stuttgart

      Baden-Württemberg

      Germany

    This is your employer

    LOG-HUB AG

    LOG-HUB AG

    LOG-HUB AG, based in Feusisberg, Switzerland, specializes in logistics services. It offers innovative software solutions and consulting in the field of supply chain management.

    Description

  • Company Type
    Established Company
  • Working Model
    Hybrid, Onsite
  • Industry
    Logistics, Transportation
  • Logo LOG-HUB AG

    Data & Analytics Engineer

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

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