Senior Data Engineer — AI Analytics on Databricks (Hybrid)

Software Mind; Kraków; Hybrid; PLN 180,000 - 280,000; Full time

Benefits offered by this job

Lunch tickets

Private healthcare

Multisport card

Hybrid work

Flexible employment

Job summary

Software Mind Poland is building a next-generation AI analytics platform on a cutting-edge Databricks stack. You will design, build, and optimize data pipelines and governance across the intelligence layer.

Join a collaborative team focusing on reliability, reproducibility, and scalable analytics, using MLflow and agent-based patterns to deliver real-time insights for internal and external users.

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 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.

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 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.

Skills

SQL

Python

Data engineering

Analytics engineering

Tools

Databricks

Delta Tables

Metric Views

Genie Agents

MLflow

Unity Catalog

MCP Server

Job description

Software Mind Poland is building a next-generation AI analytics platform on a cutting-edge Databricks stack. You will design, build, and optimize data pipelines and governance across the intelligence layer.

Join a collaborative team focusing on reliability, reproducibility, and scalable analytics, using MLflow and agent-based patterns to deliver real-time insights for internal and external users.