Data Engineer – Python/PySpark

Project Duration: 02.01.2026 – 31.12.2026
Experience: 6+ years
Industry: Banking & Finance
Work Format: Hybrid (mandatory office presence 3 days per week, Kraków, Poland)
 

About the Project

We are looking for a skilled Data Engineer to work on a banking sector project. The role focuses on building and optimizing data pipelines, working with big data tools, cloud platforms, and collaborating with international teams.

Note: Background check may be required by the client.

Requirements

Must-Have:

• 6–9 years of professional experience in data engineering or similar fields
• Proficiency in Python and experience with PySpark for large-scale, distributed data processing
• Hands-on experience with Microsoft Azure tools: Data Lake, Synapse, Data Factory, and Key Vault
• Strong knowledge of Databricks for big data analysis and workflow orchestration
• Advanced SQL/Oracle skills and understanding of relational database principles
• Experience with data modeling, building data warehouses, and system performance optimization
• Familiarity with CI/CD processes, Git, and general DevOps methodologies
• Strong analytical skills and comfortable working in Agile teams
• Fluent English
   

Technical Skills

Core Skills:

• Python
• PySpark
• Microsoft Azure
• Data Lake
• Azure Synapse
• Azure Data Factory
• Key Vault
• Databricks
• SQL
• Oracle
• CI/CD
• Git
• DevOps