Data Engineer | Wroclaw

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💡 We are looking for a Data Engineer with strong hands-on experience in Azure Data Factory (ADF) to join a long-term project with a major international Swiss investment bank. Experience with Azure Databricks (ADB) will be considered a significant advantage. 📍 Location: Wroclaw&Krakow, hybrid 3-4 days/week 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. Proven expertise in: PySpark (Spark SQL, DataFrames, performance tuning) Python scripting and application development Azu

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