Senior Data Engineer

hubQuest is a team of tech enthusiasts dedicated to building cutting-edge IT and Analytical Hubs. We are looking for a Senior Data Engineer to join a high-seniority engineering group focused on strategic, complex initiatives within the Data Management and Data Foundation area.

Key responsibilities

• Design, develop, and optimize complex data solutions and pipelines on Azure and Databricks.
• Take end-to-end technical ownership of engineering challenges from design to production deployment.
• Write high-quality, production-grade code using Python, PySpark, and SQL.
• Implement AI-enabled capabilities, including RAG-based approaches and conversational data access.
• Contribute to the migration and modernization of data platforms into Databricks-based architectures.

Requirements

• 8+ years of professional experience in Data Engineering or Software Engineering.
• Strong, hands-on commercial experience with Azure Databricks and the Azure cloud ecosystem.
• Excellent programming skills in Python and advanced PySpark proficiency.
• Advanced SQL skills, including complex transformations and optimization.
• Experience with production-grade engineering practices, including CI/CD, testing, and version control.
• High level of ownership, independence, and excellent English communication skills.

What we offer

• Opportunity to work on high-impact, strategic data initiatives.
• Significant technical ownership and freedom in solving complex problems.
• Hands-on work with modern technologies including Azure, Databricks, and AI-driven data solutions.
• Collaboration with experienced engineers and architects in an international environment.