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    Senior Data Engineer
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    Avenga

    Senior Data Engineer

    Avenga

    Wrocław
    7 121 - 7 884 USDNet/month - B2B
    Type of work
    Full-time
    Experience
    Senior
    Employment Type
    B2B
    Operating mode
    Hybrid
    Avenga

    Avenga

    We are a team of IT and digital transformation experts. Strategic consulting, customer experience service, software development, and outsourcing of top-class IT specialists is what we do (and more!).

    Company profile

    Tech stack

      PySpark

      advanced

      Azure

      advanced

      Databricks

      advanced

      Python

      advanced

      Git

      regular

      Data modeling

      regular

      Azure Services

      regular

      Azure DevOps

      regular

    Job description

    Online interview

    NOTE: hybrid work from the Office located in Wroclaw at least once a week


    We are looking for Senior Data Engineer with experience in AI projects to join our team and help us integrate AI solutions into our applications. In this role, you will be responsible for supporting internal users and processes by solving maintenance and data quality issues, and ensuring the efficient operation of our organization's systems.


    Requirements:

    • At least 4-5 years of experience in Data Engineering
    • Expertise in Azure cloud service platform
    • Proven experience with large databases and data warehouses
    • Expertise in Databricks: Delta Tables, DLT, Unity Catalog, performance tuning, etc.
    • Good knowledge in Azure services: Azure Data Factory, Azure SQL Database, Azure Key Vault, Azure OpenAI Service
    • Proficiency in Python and PySpark
    • Knowledge of modern Data Modeling and Design concepts
    • Ability to design simplified E2E Azure solution architecture
    • Agile - flexibility to execute available tasks in a rapidly changing environment
    • Familiarity with authentication mechanisms in Azure
    • Ability to use Version Control (Git) with Azure DevOps


    Hands-on experience:

    • Generative AI Fundamentals/Basics: Understanding of how AI models are trained to generate data (e.g., text, images) and their practical applications in cloud environments. Familiarize with RAG pattern, Experience in prompt engineering.
    • MLOps: Familiarity with machine learning operations practices, including model versioning, continuous integration, and deployment (CI/CD) pipelines tailored for AI solutions.


    Additional requirements:

    • Nice to have experience in the automotive industry (Warranty)
    • Capacity to work in an international environment using English
    • Team player - having a sharing and collaborative mindset
    • Takes ownership at work


    If you meet the above requirements and are passionate about AI and cloud technologies, we would love to hear from you.

    Apply for this job

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