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

Project the aim youll 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. Youll 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 youll 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

Qualifications :

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

Additional Information :

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

Remote Work :

Yes

Employment Type :

Full-time