Databricks Data Engineer

Billigence is a Business Intelligence, Data Analytics & AI consultancy with a global reach bringing insights to our customers and delivering the best business outcomes using data. We provide professional services in areas including Data Governance, Cloud Architecture, Data Engineering, Data Insights, and more. Our mission is to transform the way people work with data.
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We're looking for Databricks Data Engineers at every stage of their journey, from your first year building pipelines to architects shaping how our clients' data platforms are built. If Databricks is your toolset of choice (or the one you want to master), we want to talk to you.
What will you do
Design, build, and maintain scalable data pipelines on Databricks — Delta Lake, Unity Catalog, workflows, notebooks (PySpark/SQL)
Work end-to-end: from raw ingestion to clean, reliable outputs ready for analytics and modeling
Apply medallion architecture and best practices for data reliability, performance, and cost efficiency
Collaborate with architects, consultants, and PMs — translating technical complexity into solutions clients actually understand
Depending on seniority: mentor junior engineers, lead architecture decisions, or define technical standards across projects
Contribute to knowledge sharing through internal sessions, webinars, and tech talks
Keep growing: new Databricks features, certifications, and bring that knowledge back to the team
What we're looking for
Hands-on experience with Databricks and strong SQL/Python skills — from your first year building pipelines to years of production experience
Juniors: building on Azure and Python fundamentals
Mid-level: independently designing & building pipelines (Delta Lake, Unity Catalog, performance tuning)
Senior/Architect: proven track record designing Databricks-based platforms and leading technical decisions across client projects
Solid experience with Azure, at any level
Experience with AI coding tools, like Claude Code or other
Hands-on, proactive approach — you take ownership and follow through
Experience with BI/visualization tools or consulting/client-facing work is a plus
Fluent Czech and English on a professional level
What can you expect
Work on international projects using cutting-edge data tools – seriously, the best tech available
Solid benefits package: extra 10 days of leave, Multisport card, generous annual learning budget, open bonus structure, local and international knowledge sharing sessions, and more
Hybrid flexibility – we meet in the Prague office regularly (around 2–3 days a week), and you’re free to choose what works best for you beyond that
AI-friendly by default – we stay current, experiment with new tools, and treat AI as a genuine work partner
Genuinely collaborative culture, that actually means something: real teamwork, support, knowledge sharing, flexibility and fun
Continuous learning and development to keep your skills sharp
A diverse, global team of friendly data professionals, who really get along
If you're a keen sportsman, you'll find plenty of company here 🏃‍♀️
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Employment type
Full-Time

Work arrangement
No