
Senior Data Engineer, Databricks, Python, AI
Posted Sep 8

Posted Sep 8
This is a fully remote position, open to applicants in Romania.
• Create, develop, and sustain data pipelines and curated datasets within the Databricks Unity Catalog.
• Formulate and document Metric Views that define essential business metrics, including schedules, on-time performance, bookings, and pricing.
• Set up and optimize domain-specific Genie Agents for conversational analytics.
• Play a role in the multi-agent orchestration architecture, particularly within the Supervisor Agent layer.
• Execute MLflow tracing and evaluation to assess agent performance and manage versioning.
• Assist in integrating the intelligence layer with external AI tools through the MCP Server.
• Work collaboratively with data and product teams to transform business inquiries into governed, reusable data definitions.
• Demonstrated hands-on expertise with Databricks (essential).
• At least 4 years of pertinent experience in data engineering or analytics engineering.
• Strong understanding of data modeling, Delta Tables, Metric Views, and Genie Agents.
• Proficient in SQL and Python.
• Experience in developing solutions utilizing agentic AI methodologies and patterns.
• Familiarity with Unity Catalog or comparable data governance and lineage frameworks.
• Proven ability to deliver reliable, production-quality data pipelines and analytical systems.
• Experience using MLflow for experiment tracking, model/agent evaluation, or observability.
• Knowledge of multi-agent orchestration patterns in enterprise data environments.
• Understanding of Model Context Protocol (MCP) or providing AI functionalities via APIs.
• Background in the aviation or travel sector, along with knowledge of flight data concepts.
• Flexible employment with a hybrid work model.
• Meal vouchers.
• Private healthcare and insurance.
• Multisport card.
• Well-being initiatives.
• Travel programs.
• Opportunities for professional development.
• Personal growth support.
Mirantis
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