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

Softwaremind; Poland; Hybrid; PLN 170,000 - 230,000; Full time

Benefits offered by this job

Lunch tickets

Private healthcare and insurance

Multisport card

Hybrid work

Non-corporate atmosphere

Travel programs

Job summary

Software Mind Poland is seeking an experienced Data/Analytics Engineer to join a forward-looking team building a next-generation Intelligence Layer. You will design and maintain data pipelines in Databricks, define core metrics, and contribute to agent orchestration for conversational analytics.

Ideal candidates will have 4+ years of relevant experience, strong SQL/Python, and familiarity with Unity Catalog, Delta Tables, and MLflow for experiment tracking.

Qualifications

• Proven hands-on Databricks experience.
• Experience building and governing data pipelines in a modern analytics platform.
• Strong SQL and Python skills with production-grade data solutions.

Responsibilities

• Design, build, and maintain data pipelines and curated datasets within 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 agent quality.

Skills

Data modelling

Data pipelines

Analytics engineering

Agentic AI methods

APIs exposure

Tools

Databricks

Unity Catalog

MLflow

Genie Agents

MCP Server

Delta Tables

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

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