Data Engineer @
2 weeks ago
- Strong experience with Python and SQL
- Hands-on experience with Google Cloud Platform (BigQuery, DataProc, etc.)
- Familiarity with data modeling, metadata management, and data integration
- Experience working in Agile/DevOps environments
- Good communication skills and ability to work in global teams
- Nice to have: experience with Hadoop, PySpark, Airflow, CI/CD
Location: Kraków (Hybrid – 2 days/week in the office)
Rate: 180–210 PLN/hour (B2B)
For our client in the banking sector, we are looking for an experienced Data Engineer to join a global data and analytics team. You will work on building and evolving a modern data platform using Google Cloud Platform (GCP) and Python, contributing to the development of scalable, secure, and high-performing data solutions.
,[Design, build, and maintain data pipelines using GCP tools (BigQuery, DataProc, etc.), Collaborate with data scientists, analysts, and architects to deliver business insights, Participate in Agile development processes, including code reviews and sprint planning, Ensure data quality, performance, and reliability across systems, Support migration from on-premise Hadoop to GCP, Troubleshoot and support production data systems] Requirements: Python, SQL, Google Cloud Platform, Data modeling, Hadoop, PySpark, Airflow, CD-
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