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    Our client is a global tech company undergoing an exciting transformation, looking for a Senior Data Engineer to join their growing team in Poland.

    Skills and Requirements:

    • 6+ years of experience as a Data Engineer, Software Engineer, or similar role working with large-scale data solutions.
    • Advanced proficiency in Python, including writing optimized, production-grade code for data processing and automation.
    • Strong hands-on experience building and managing data pipelines and ETL/ELT workflows.
    • Deep experience with Azure Cloud data services such as Azure Data Factory, Synapse Analytics, Azure Databricks, ADLS, Azure Functions, Event Hub, and Service Bus.
    • Solid understanding of data modeling, warehousing concepts, and distributed data processing.
    • Experience with big data frameworks and tools (e.g., Spark, PySpark, Delta Lake).
    • Proficiency with SQL and experience working with relational and NoSQL databases.
    • Experience with version control, CI/CD pipelines, and DevOps practices (Azure DevOps, GitHub Actions).
    • Strong understanding of security best practices around data access, governance, and compliance.
    • Familiarity with infrastructure-as-code tools (Terraform, Bicep, ARM templates) is a plus.
    • Excellent communication, problem-solving abilities, and a strong sense of ownership.
    • Bachelor’s or Master’s degree in Computer Science, Engineering, or related discipline (or equivalent experience).

    Responsibilities:

    • Design, build, and maintain scalable, reliable data pipelines and ETL/ELT processes using Python and Azure services.
    • Develop end-to-end cloud-based data solutions using Azure Data Factory, Azure Databricks, Synapse, and other Azure components.
    • Collaborate with data scientists, analysts, and application teams to deliver high-quality data products.
    • Implement data quality, validation, and monitoring frameworks to ensure accuracy and consistency.
    • Optimize data workflows for performance, cost efficiency, and scalability.
    • Manage and organize data assets within Azure Data Lake environments and warehouse structures.
    • Ensure proper data governance, security, and compliance across data workflows.
    • Participate in architectural discussions and contribute to long-term data platform strategy.
    • Troubleshoot and resolve complex issues in data pipelines and cloud infrastructure.
    • Mentor junior team members and help establish engineering and data management best practices.
    • Stay informed about emerging technologies and best practices in data engineering and cloud solutions.

    For more information – please apply for this job or send your CV directly and I will call you back to provide you with more details.

    Cavendish (Recruitment) Professionals Ltd are proud to be an equal opportunity employer and we believe that inclusivity begins with the candidate experience. All qualified applicants will receive consideration for employment regardless of, gender, race, age, sexual orientation, religion, or belief.

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    Job manager

    Michal Linek

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