[GFI] Senior Data Engineer (Databricks, Python, AI)

Project – the aim you’ll have

Join a forward-thinking technology team building a next-generation Intelligence Layer - a governed, AI-powered analytics platform that delivers trusted, real-time answers to questions for both customers and internal users. You'll work on a cutting-edge Databricks stack within a collaborative engineering team, contributing to a system that directly shapes how AI interfaces with business-critical data.

Position – how you’ll contribute

• Design, build, and maintain data pipelines and curated datasets within Databricks Unity Catalog
• Develop and document Metric Views defining core business metrics (schedules, on-time performance, bookings, pricing) to ensure consistency across the platform
• Configure and tune domain-specific Genie Agents for conversational analytics
• Contribute to the multi-agent orchestration architecture, including the Supervisor Agent layer
• Implement MLflow tracing and evaluation to monitor agent quality and manage versioning
• Support the integration of the intelligence layer with external AI tools via the MCP Server
• Collaborate with data and product teams to translate business questions into governed, reusable data definitions

Expectations – the experience you need

• Proven hands-on experience with Databricks (non-negotiable)
• Minimum 4 years of relevant data engineering or analytics engineering experience
• Strong knowledge of data modelling, Delta Tables, Metric Views, and Genie Agents
• Excellent skills in SQL and Python
• Experience building solutions using agentic AI methods and patterns
• Familiarity with Unity Catalog or similar data governance and lineage frameworks
• Track record of delivering reliable, production-grade data pipelines and analytical systems

Additional skills – the edge you have

• Experience with MLflow for experiment tracking, model/agent evaluation, or observability
• Knowledge of multi-agent orchestration patterns in enterprise data environments
• Familiarity with Model Context Protocol (MCP) or exposing AI capabilities via APIs
• Background in the aviation or travel industry and understanding of flight data concepts

Our offer – professional development, personal growth:

• Professional development, personal growth
• Flexible employment and hybrid work
• Non-corporate atmosphere
• Lunch tickets
• Private healthcare and insurance
• Multisport card
• Well-being initiatives
• Travel programs
• More intriguing benefits will be revealed during our interviews

Position at: Software Mind Poland