Azure Data Engineer

🚀 Responsibilities: Design and develop data pipelines and data-processing solutions based on Azure Databricks and Python. Build and maintain solutions on the Azure Data platform (Data Lake, Data Factory, Synapse). Create and develop Data Products and manage them (Unity Catalog). Work with the business—gather requirements and translate them into technical solutions. Ensure data quality, security and compliance with requirements. Integrate data solutions with other systems in the organization. Improve solution performance, scalability and costs. 🛠️ Requirements: Very good knowledge of Azure Databricks, Python and Apache Spark. Experience with Azure services: Data Lake (ADLS Gen2), Data Factory / Synapse. Knowledge of APIs (REST or similar). Experience designing ETL and data modeling. Basic knowledge of data architecture. Experience with CI/CD and Git. Problem-solving skills and ability to work with Agile methodologies. Good communication skills (collaboration with business and technical teams). ➕ Nice to have: Experience processing large datasets (big data, streaming). Knowledge of Unity Catalog and data governance principles. Experience with data visualization tools (e.g. Power BI). Knowledge of Databricks Asset Bundles.