Requirements: 4+ years Azure experience; 5+ years in large-scale data management & analytics Hands-on with Azure services: Databricks, Data Lake, Synapse, SQL, Data Factory, Data Explorer Proficient in SQL, Python, Azure DevOps/GitHub

Strong English (and Polish) communication; experience with international clients

Responsibilities: Manage full data lifecycle: acquisition, cleaning, integration, analysis, visualization Build pipelines, scalable data architectures, and automated processes Maintain and optimize existing solutions; implement data quality checks Collaborate in technical teams to turn data into insights and improve products Advise clients and propose improvements directly to stakeholders