Senior Data Engineer

hubQuest is seeking a highly experienced Senior Data Engineer to join a high-seniority engineering group focused on strategic, complex data initiatives. You will work on cutting-edge projects, moving between priorities to deliver robust, scalable solutions within a data-driven organization.

Key responsibilities

• Design, develop, and optimize complex data pipelines and solutions 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 discovery.
• Contribute to the migration and modernization of data platforms using Unity Catalog and Databricks 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.
• Deep understanding of data engineering principles, ETL/ELT patterns, and distributed processing.
• Ability to work independently, solve non-standard technical problems, and drive implementation.
• Experience with production-grade engineering practices, including CI/CD and version control.

What we offer

• Opportunity to work on high-impact, strategic data initiatives rather than repetitive tasks.
• Significant technical ownership and freedom in how complex problems are solved.
• Hands-on work with modern technologies including Azure, Databricks, and emerging AI capabilities.
• Collaboration with a team of experienced engineers and architects in an international environment.