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
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
Skills Required
- Hands-on experience with Databricks
- At least 4 years of relevant data engineering or analytics engineering experience
- Knowledge of data modeling, Delta Tables, Metric Views, and Genie Agents
- Strong SQL skills
- Strong Python skills
- Experience building solutions with agentic AI methods and patterns
- Familiarity with Unity Catalog or similar data governance and lineage frameworks
- Experience delivering reliable, production-grade data pipelines and analytical systems
- Experience with MLflow for experiment tracking, model or agent evaluation, or observability
- Knowledge of multi-agent orchestration patterns in enterprise data environments
- Familiarity with Model Context Protocol or exposing AI capabilities via APIs
- Background in aviation or travel industry and understanding of flight data concepts
Software Mind Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Software Mind and has not been reviewed or approved by Software Mind.
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Fair & Transparent Compensation — Pay is considered competitive for core hiring markets, with “good salary” cited in multiple locales. Public salary snapshots provide a baseline that helps candidates assess offers and negotiations.
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Flexible Benefits — Remote or hybrid options are prominently highlighted, and a remote‑work program is publicly noted alongside positively cited work‑from‑home experiences. Flexibility around schedules and location is presented as part of the package.
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Wellbeing & Lifestyle Benefits — Private medical care, language classes, sports/fitness support, and learning initiatives are listed for several Central/Eastern European locations, with occasional workation perks promoted. These lifestyle‑oriented offerings complement base pay and can enhance perceived total rewards.
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What We Do
Software Mind is a global digital transformation partner with operations throughout Europe, the US and LATAM. Driven by tech and empowered by people, we provide companies with software engineers and autonomous, cross-functional development teams who manage software life cycles from ideation to release and beyond. For over 20 years we’ve been enriching organizations with the talent they need to boost scalability, drive dynamic growth and bring disruptive ideas to life. Our top-notch engineering teams combine ownership with leading technologies, including cloud, AI, data science and embedded software to accelerate digital transformations and boost software delivery. A culture, driven by trust, that embraces openness, craves more and acts with respect enables our experts to create evolutive solutions that support scale-ups, unicorns and enterprise-level companies around the world.
