Senior Data Solution Engineer

The area of data engineering at PwC Poland plays a key role in all digital initiatives. The Data Solutions team specializes in building advanced data platforms, delivering data engineering services, and providing comprehensive analytics, integration, and visualization—both on-premises and in the cloud.

• Professional experience as a Data Engineer
• At least 2 years of hands-on experience with MS Fabric
• At least 4 years of hands-on experience with Databricks, PySpark, and Python for data engineering (including usage of Pandas, SQL Alchemy)
• Strong knowledge of Python software engineering (including usage of FastAPI, Django, and similar)
• Strong knowledge of SQL
• Experience with Azure tools: Azure Data Factory, ADLS, SQL Server, Key Vault
• Understanding of OLTP, OLAP, Data Lake, Data Lakehouse, Data Mesh, and Data Fabric concepts
• Familiarity with at least one ETL tool (e.g., ADF, Informatica, Talend, AWS Glue)
• Experience with BI tools (Power BI, Tableau)
• Demonstrated knowledge of new technologies and AI-powered tools in daily work (e.g., task automation, information analysis, content creation)
• Practical knowledge of software testing
• Team player attitude, preferably with experience in an international environment
• Strong analytical skills
• Very good communication skills (oral and written)
• Good command of English (C1 level) and fluent in Polish

Nice to have:

• Understanding of software engineering principles (PEP, DRY, SOLID, design patterns)
• Familiarity with version control systems (GIT), Docker, and CI/CD (Azure DevOps)
• Programming experience in Python, Java, or C#
• Experience with GenAI (prompt engineering, agents, Copilot, Cursor)
• Knowledge of MLOps practices
• Certifications in Azure / AWS / Google Cloud (data engineering paths)
• Databricks certification

• Design, build, and manage solutions in Microsoft Fabric / Databricks environments
• Implement and maintain solutions in the Azure cloud, focusing on Azure Data Factory, Azure Synapse, Microsoft Fabric, and Azure Databricks
• Leverage PySpark and develop scripts and applications in Python for data engineering purposes
• Ensure code quality by writing unit and integration tests for delivered solutions
• Collaborate with the team and share knowledge with less experienced colleagues
• Adhere to the company's Delivery Excellence framework and contribute to ways of working and internal delivery guidelines