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  • Data Engineer
    Data

    Data Engineer

    Gdańsk
    Type of work
    Full-time
    Experience
    Mid
    Employment Type
    Permanent, B2B
    Operating mode
    Remote

    Tech stack

      Azure

      regular

      SQL

      regular

      Azure DevOps

      regular

      Python

      regular

      Bash

      junior

      Synapse

      junior

      Datalake

      junior

      Snowflake

      junior

      Databricks

      junior

      Data Factory

      junior

    Job description

    Online interview

    As a recruitment company, DCG understands that every business is powered by experienced professionals. Our management style and partnership approach enable us to meet your needs and provide continuous support. Due to our ongoing growth and the large number of recruitment projects we undertake for our partners, we are currently looking for Data Engineer.


    Responsibilities:

    • Develop, optimize & maintain big data (ELT/ETL) pipelines for purposes of business intelligence and statistical modelling
    • Ensure & monitor data quality and integrity
    • Set up and configure data storage systems (e.g. SQL databases, data lake)
    • Manage and support production use of connections between key elements of data infrastructure
    • Write and maintain secure, robust, scalable, and efficient code that turns business concepts into tangible solutions
    • Drive engineering best practices like automation, CI/CD, and maintainability
    • Support standardization and automation by following best-practices / common development standards
    • Collaborate with BI analysts, data scientists, ML engineers and core IT in cross-functional teams delivering value through data solutions


    Requirements:

    • Broad skills in Python, SQL, MDX and bash scripting
    • 2+ years of hands-on experience within Azure data components (Data Factory, Synapse, Datalake, Blob Storage, Sharepoint, Databricks)
    • Experience with data workflow orchestration (ADF, Databricks Jobs, possibly Airflow)
    • Good command of version control and CI/CD pipelines using Azure DevOps or alike
    • Experience with Snowflake and its use with Azure cloud
    • Business-ready English (B2-C1)
    • Familiarity with data governance concepts (e.g., catalogue & meta data, data lineage, master data, security & compliance)

    Nice to have:

    • Familiarity with SAP Business Warehouse as a data source
    • Azure Data Engineer / Data Analytics certificate
    • Understanding of BI tools, eg. Power BI
    • Experience with PySpark / Scala


    Offer:

    • Private medical care
    • Co-financing for the sport card
    • Training & learning opportunities
    • Constant support of dedicated consultant
    • Employee referral program

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