Senior Data Engineer (Databricks, Python, AI)

Software Mind; Kraków; On-site; 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

• Full-time

Company 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.

Job Description

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

Qualifications

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

Additional Information

Our offer - professional development, personal growth:

• Flexible employment and hybrid work
• Non-corporate atmosphere
• Lunch tickets
• Private healthcare and insurance
• Multisport card
• More intriguing benefits will be revealed during our interviews

Position at: Software Mind Poland

By clicking the link above or any third-party link within this posting, you are leaving this site and going to a third-party website where the third-party website's terms and privacy policy apply