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  • All offersWarszawaDataData Engineer (1 day in the office/week)
    Data Engineer (1 day in the office/week)
    Data
    Crestt

    Data Engineer (1 day in the office/week)

    Crestt
    Warszawa
    Type of work
    Full-time
    Experience
    Senior
    Employment Type
    Permanent
    Operating mode
    Hybrid

    Tech stack

      Python

      advanced

      PySpark

      advanced

      SQL

      advanced

      PostgreSQL

      advanced

      AWS

      advanced

      GitLab

      advanced

      MS Office Visual Basic

      regular

      Oracle DB

      regular

    Job description

    Online interview

    Hello! ­čÜÇ

    For our Client ÔÇô a British fintech company ÔÇô weÔÇÖre looking for a skilled Data Engineer.

    Join our ClientÔÇÖs company to be the voice of our customers, using data to drive decisions and create seamless, digital-first customer experiences. This is an opportunity to make a significant impact.


    ­čĄŁDirect and long-term cooperation with our Client.

    ­čĺ░ They offer an employment contract up to 22 000 PLN gross/month and access to numerous benefits. These include: Intellectual Property Rights tax deduction, social fund, life insurance, share plans, medical healthcare, multi-sport card, Sodexo lunch card and many moreÔÇŽ


    ­čôŹ┬áLocation: Warsaw, hybrid model (1x per week in the office)


    What you will do:

    • Develop innovative data solutions using pipelines, modeling, and ETL design.
    • Solve complex business problems by building scalable data architectures.
    • Automate data engineering pipelines and end-user applications.
    • Provide solutions for DevOps framework problems.
    • Integrate new data techniques through training and experimentation.
    • Source and process streaming data as per our strategy.

     

    Our expectations:

    • Strong understanding of data usage, dependencies, and extraction from large-scale data.
    • Experience in ETL design, data quality testing, and modern code practices.
    • Advanced skills in Python, PySpark, SQL/PostgreSQL, GitLab, MS Excel, and AWS tools.
    • Intermediate skills in MS Office Visual Basic, Oracle DB, and business objects.
    • Basic knowledge of C#, JavaScript, SAS 4GL, JIRA tools, and Tableau.
    • Data warehousing and modeling experience.
    • Experience in regulated environments.
    • Excellent communication and stakeholder management skills.