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  • Senior Data Engineer (IN/VA) Hybrid Warsaw
    Data

    Senior Data Engineer (IN/VA) Hybrid Warsaw

    Warszawa
    Type of work
    Freelance
    Experience
    Senior
    Employment Type
    B2B
    Operating mode
    Hybrid

    Tech stack

      NoSQL (MongoDB)

      advanced

      Data architecture, design patterns

      advanced

      Java, Scala, or Python

      advanced

      gile, CI/CD, a

      advanced

      Relational databases (MSSQ

      advanced

      Data Engineering

      advanced

      Hadoop, Spark, Hive, Kafka

      advanced

    Job description

    Dear Consultant,


    We’re looking for a Senior Data Engineer to drive the development of scalable, high-performance data solutions for enterprise-grade systems. You will work on designing, developing, and optimizing large-scale data pipelines and platforms using modern Big Data technologies. This is a hybrid role based in Warsaw, offering a balance of remote flexibility and in-office collaboration. Send Cv to marcillina.tietjen@dcvyechnologies.co.uk if you are interested.



    Location: Warsaw, Poland (Hybrid)

    Experience Level: 5–6+ years

    Start Date: Immediate / Flexible

    Contract Type: (B2B )


    Key Responsibilities:

    • Lead end-to-end development of high-quality data solutions aligned with architecture and standards
    • Design and implement large-scale data pipelines for high-volume, multi-dimensional datasets
    • Collaborate with teams to integrate data solutions into business-critical systems
    • Optimize performance for low-latency querying and high-throughput ingestion
    • Contribute to architecture decisions, system design, and best practices
    • Participate in Agile ceremonies and CI/CD integration processes

    Required Skills & Experience:

    • 5–6+ years of hands-on data engineering experience
    • Strong expertise in Big Data technologies: Hadoop, Spark, Hive, Kafka
    • Proficient in SQL and at least one language: Java, Scala, or Python
    • Experience with NoSQL (MongoDB) and relational databases (MSSQL)
    • Solid understanding of data architecture, design patterns, and optimization techniques
    • Familiarity with Agile, CI/CD, and modern data engineering workflows
    • Strong communication and collaboration skills


    Undisclosed Salary

    B2B

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