We are looking for an experienced Senior Data Engineer to join an international project.

Senior Azure Data Engineer (Databricks, Azure)

Your responsibilities

• Design and implement scalable data pipelines and lakehouse architectures using Databricks (Spark, Delta Lake)
• Lead and support migration activities from Azure Synapse to Databricks
• Develop and optimize Databricks SQL Warehouses for analytics and BI workloads
• Build and maintain semantic models supporting enterprise reporting and self-service analytics
• Collaborate with analytics and business teams to deliver high-quality Power BI datasets and dashboards
• Write, optimize, and tune complex SQL queries for large-scale analytical workloads
• Ensure data quality, reliability, and governance across the analytics platform
• Contribute to architecture decisions, engineering standards, and best practices

Our requirements

• 5+ years of experience in Data Engineering or Analytics Engineering roles
• Strong hands-on experience with Databricks (Spark, SQL)
• Advanced SQL skills, including query optimization and performance tuning
• Experience with cloud-based data platforms
• Experience migrating data platforms, ideally from Azure Synapse to Databricks
• Experience with Power BI, including semantic modeling and datasets
• Strong understanding of Kimball methodology, star schemas, and data warehousing best practices
• Very good communication skills and ability to work with cross-functional teams
• English level: B2 or higher