5+ years of hands-on experience with Python and data engineering
Experience designing and implementing data ingestion and transformation pipelines
Practical experience with Databricks, data modeling, data quality, and source-system integration
Knowledge of, and ideally practical experience building and deploying, Databricks Apps
Experience delivering data or analytics use cases through the complete development lifecycle
Familiarity with AI-native ways of working and AI tools such as GitHub Copilot, Databricks Genie, and Claude Code
Experience establishing engineering processes, CI/CD, testing, code review, and release practices
Demonstrable hands-on experience using AI tools across the SDLC
Ability to critically review and validate AI-generated code, tests, designs, and documentation
Experience mentoring engineers and enabling knowledge sharing
Proactive, independent working style with strong communication and stakeholder-management skills
Awareness of data governance, security, compliance, data lineage, and privacy requirements
Proficiency in English at a B2+ level