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

Software Mind develops solutions that make an impact for companies around the globe. Tech giants & unicorns, transformative projects, emerging technologies and limitless opportunities – these are a few words that describe an average day for us. Building cross-functional engineering teams that take ownership and crave more means we’re always on the lookout for talented people who bring passion and creativity to every project. Our culture embraces openness, acts with respect, shows grit & guts and combines employment with enjoyment. 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