Data Engineer (1 day in the office/week)

Data

Data Engineer (1 day in the office/week)

Data

Tadeusza Rejtana 17, Warszawa

Crestt

Full-time
Permanent
Senior
Hybrid
5 022 - 6 138 USD
Gross per month - Permanent

Tech stack

    Python

    advanced

    PySpark

    advanced

    SQL

    advanced

    PostgreSQL

    advanced

    AWS

    advanced

    GitLab

    advanced

    MS Office Visual Basic

    regular

    Oracle DB

    regular

Job description

Hello! 🚀

For our Client – a British fintech company – we’re looking for a skilled Data Engineer.

Join our Client’s 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.


🤝Direct and long-term cooperation with our Client.

💰 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 more…


📍 Location: 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.


Published: 09.07.2024
Office location
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