Data Engineer

Location: Krakow, Poland (Hybrid Model – On-site Presence Required)

Number of Positions: 3

Experience: 6–10 years (preferably 8–10 years)

Job Overview:

• We are seeking experienced Data Engineers with strong expertise in PySpark and Python to join our growing data engineering team in Kraków.
• The successful candidates will be responsible for designing, developing, and optimizing scalable data pipelines and data processing solutions for large-scale enterprise environments.
• Experience with Azure Data Factory (ADF) is required, while hands-on experience with Azure Databricks (ADB) will be considered a significant advantage.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using PySpark and Python.
• Build and optimize ETL/ELT workflows for processing large volumes of data.
• Write efficient, reusable, and high-performance code with a strong focus on optimization.
• Process and manage structured and unstructured data from multiple sources.
• Implement best practices related to data engineering, performance tuning, and code quality.
• Develop, orchestrate, and monitor data workflows using Azure Data Factory (ADF).
• Collaborate with Data Scientists, Data Analysts, Solution Architects, and other stakeholders.
• Ensure data quality, reliability, and integrity across all data platforms.
• Troubleshoot and resolve performance bottlenecks in data processing pipelines.
• Contribute to data architecture discussions and continuous improvement initiatives.

Required Skills & Experience

• 6–10 years of overall IT experience.
• 4–5 years of hands-on experience in PySpark and Python development.
• Strong understanding of data engineering principles and modern data pipeline architectures.
• PySpark (Spark SQL, DataFrames, performance tuning)
• Python scripting and application development
• Azure Data Factory (ADF) orchestration and pipeline development
• Strong knowledge of data optimization techniques, including partitioning, caching, joins, and query optimization.
• Experience working with large-scale distributed data processing systems.
• Strong analytical and problem-solving skills.
• Good understanding of SQL, database concepts, and data modeling.

Nice-to-Have Skills

• Hands-on experience with Azure Databricks (ADB).
• Exposure to cloud technologies, preferably Microsoft Azure.
• Experience with CI/CD pipelines and DevOps practices for data engineering.
• Knowledge of Data Lake and Lakehouse architectures.
• Familiarity with modern data governance and monitoring practices.