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

Software Mind; Województwo małopolskie; Hybrid; PLN 180,000 - 320,000; Full time

Benefits offered by this job

Hybrid work

Lunch tickets

Private healthcare

MultiSport card

Well-being initiatives

Travel programs

Non-corporate atmosphere

Job summary

Software Mind in Poland is seeking a seasoned Data Engineer to join a forward-looking team building an AI-powered analytics platform. You will craft data pipelines in the Databricks stack, define core business metrics as Metric Views, and tune Genie Agents for conversational analytics.

You’ll contribute to multi-agent orchestration and ensure governance through Unity Catalog-like systems, while embedding MLflow tracing for model/versioning.

Qualifications

• 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 SQL and Python skills.
• 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.

Responsibilities

• Design, build, and maintain data pipelines and curated datasets within Databricks Unity Catalog.
• Develop and document Metric Views defining core business metrics to ensure consistency.
• Configure and tune domain-specific Genie Agents for conversational analytics.
• Contribute to multi-agent orchestration architecture, including Supervisor Agent layer.
• Implement MLflow tracing and evaluation to monitor agent quality and manage versioning.
• Support integration of the intelligence layer with external AI tools via MCP Server.

Skills

Databricks

SQL

Python

Delta Tables

Metric Views

Genie Agents

Multi-agent orchestration

AI/machine learning integration

Tools

Databricks Unity Catalog

MLflow

MCP Server

Unity Catalog-like governance

Job description

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