Senior Databricks Data Engineer - AI & Agentic Tech

Software Mind; Kraków; Hybrid; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Lunch tickets

Private healthcare

Multisport card

Hybrid work

Flexible employment

Job summary

Software Mind Poland is looking for a data engineering professional to join a forward-thinking technology team building a next-generation intelligence layer using a Databricks stack. You will design, build, and maintain data pipelines, define metrics, and contribute to conversational AI capabilities within a governance-driven platform.

You will work with data and product teams to translate business questions into reusable data definitions, configure agents, and help ensure reliable,

Qualifications

• Proven hands-on experience with Databricks (non-negotiable).
• Minimum 4 years of relevant data/analytics engineering experience.
• Strong knowledge of data modelling, Delta Tables, Metric Views, and Genie Agents.
• Excellent SQL and Python skills.
• Experience with 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 in Databricks Unity Catalog.
• Develop and document Metric Views for core business metrics.
• Configure and tune Genie Agents for conversational analytics.
• Contribute to multi-agent orchestration architecture and Supervisor Agent layer.
• Implement MLflow tracing and evaluation for model/versioning.
• Support integration of the intelligence layer with MCP Server.
• Collaborate with data and product teams to translate questions into data definitions.

Skills

Databricks

Data engineering

SQL

Python

Delta Tables

Metric Views

Genie Agents

Unity Catalog

MLflow

APIs

Tools

MLflow

APIs

Job description

Software Mind Poland is looking for a data engineering professional to join a forward-thinking technology team building a next-generation intelligence layer using a Databricks stack. You will design, build, and maintain data pipelines, define metrics, and contribute to conversational AI capabilities within a governance-driven platform.

You will work with data and product teams to translate business questions into reusable data definitions, configure agents, and help ensure reliable,