Senior Data Engineer

Software Mind — Poland · Posted ~1 hour ago

Senior Full-time

Skills

Python Databricks data engineering AI analytics platforms data pipelines

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Summary ✨ AI‑Generated

A senior data engineering role focused on building governed, AI-enabled analytics platforms. The position involves developing data solutions, pipelines, and infrastructure for intelligent applications.

Highlights

Opportunity to work on modern AI-powered analytics platforms and advanced data engineering solutions.

Description

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 CatalogDevelop and document Metric Views defining core business metrics (schedules, on-time performance, bookings, pricing) to ensure consistency across the platformConfigure and tune domain-specific Genie Agents for conversational analyticsContribute to the multi-agent orchestration architecture, including the Supervisor Agent layerImplement MLflow tracing and evaluation to monitor agent quality and manage versioningSupport the integration of the intelligence layer with external AI tools via the MCP ServerCollaborate 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 experienceStrong knowledge of data modelling, Delta Tables, Metric Views, and Genie AgentsExcellent skills in SQL and PythonExperience building solutions using agentic AI methods and patternsFamiliarity with Unity Catalog or similar data governance and lineage frameworksTrack 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 observabilityKnowledge of multi-agent orchestration patterns in enterprise data environmentsFamiliarity with Model Context Protocol (MCP) or exposing AI capabilities via APIsBackground in the aviation or travel industry and understanding of flight data concepts Additional Information Our Offer – Professional Development, Personal Growth Professional development, personal growthFlexible employment and hybrid workNon-corporate atmosphereLunch ticketsPrivate healthcare and insuranceMultisport cardWell-being initiativesTravel programsMore intriguing benefits will be revealed during our interviews Position at: Software Mind Poland#WORLD