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Data Engineer with Azure

  • Seniority:

    Mid, Senior

  • Work model:

    Remote Poland

  • Language:

    English (B2)

  • As a Data Engineer, you’ll be responsible for designing, building, and optimizing scalable data pipelines and storage solutions using Azure tools, supporting analytics and machine learning needs.

  • Key Responsibilities:

    • Cloud Platform: Build and manage data solutions on Azure (Data Factory, Databricks, SQL Database, Synapse).
    • Data Processing & Storage: Work with Databricks (Delta Tables), ADLS, SQL Server, and Netezza to ensure efficient data handling.
    • Data Integration: Develop data pipelines with Azure Data Factory, with a focus on governance and compliance.
    • Programming & Transformation: Use Python and PySpark to create high-performance data transformations.
    • Data Visualization: Support data insights with Power BI and Qlik dashboards.
    • DevOps & CI/CD: Implement DevOps best practices, version control, and CI/CD with Git and Azure DevOps.
    • Agile Practices & Modeling: Work within Agile frameworks (Scrum, Kanban) and apply modern data modeling.
  • Qualifications:

    3+ years (mid) or 5+ years (senior) in data engineering, with proficiency in Azure, Python, PySpark.

  • What we offer:

    • Involvement in dynamic and interesting projects.
    • A collaborative and supportive team culture.
    • A flexible work environment.
    • A comprehensive benefits package tailored to your preferences.
  • Sounds interesting? Click “Apply” and have chance to hear more!