[GOA] Senior Data Engineer (Databricks, Python, AI)
Kraków, Lesser Poland Voivodeship, Poland
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingYou'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.
From the employer’s posting
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
What you’ll bring
All qualificationsCore experience
- Strong knowledge of data modelling, Delta Tables, Metric Views, and Genie Agents
- Experience building solutions using agentic AI methods and patterns
- Experience with MLflow for experiment tracking, model/agent evaluation, or observability
- Familiarity with Unity Catalog or similar data governance and lineage frameworks
- Knowledge of multi-agent orchestration patterns in enterprise data environments
- Familiarity with Model Context Protocol (MCP) or exposing AI capabilities via APIs
Qualification wording
Strong knowledge of data modelling, Delta Tables, Metric Views, and Genie Agents
Experience building solutions using agentic AI methods and patterns
Experience with MLflow for experiment tracking, model/agent evaluation, or observability
Familiarity with Unity Catalog or similar data governance and lineage frameworks
Knowledge of multi-agent orchestration patterns in enterprise data environments
Familiarity with Model Context Protocol (MCP) or exposing AI capabilities via APIs
Tools in this posting
- SQL
- Databricks
- Delta
- MLflow
- Python
Source — Tool mentions in context
- 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
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
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
Expectations – the experience you need - Proven hands-on experience with Databricks (non-negotiable) - Minimum 4 years of relevant data engineering or analytics engineering experience
- 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
- 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
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
Job description
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:
- 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
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.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on jobs.smartrecruiters.com. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Kraków, Lesser Poland Voivodeship, Poland
- Professional development, personal growth - Flexible employment and hybrid work - Non-corporate atmosphere
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Sep 7, 2026
- Recorded sightings
- 48
- Last seen by us
- Oct 8, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Report an errorSee how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.