Billigence
Fabric Consultant
Skills
2 months ago
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Important information
Contract type:
Permanent
Location:
Prague, Czechia
Work mode:
Onsite
Published on:
11 August 2026
What they need
We are looking for a Fabric Consultant with a strong data engineering background – someone who owns data platforms end-to-end, not just builds reports on top of them. You'll work on customer projects across various industry verticals, with Fabric as your core toolset.
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What will you do?
- Design and build scalable data platforms in Microsoft Fabric – Lakehouse, Data Factory, Pipelines, Warehouses, and OneLake integration
- Own the full data flow end-to-end: ingestion transformation modeling reporting, with Fabric as the backbone
- Architect clean, performant data models following best practices (medallion architecture, dimensional modeling)
- Build and maintain automated pipelines that scale reliably with client needs
- Partner with a PM to translate business requirements into robust Fabric-based solutions, and validate outputs with end users
- Deliver Power BI reports and semantic models as the final layer
- Manage releases across dev/test/production using Azure DevOps, including Fabric deployment pipelines
About you
- 2+ years of hands-on, production experience with Microsoft Fabric specifically – Lakehouse, Data Factory, Pipelines, Warehouses, Dataflows Gen2
- Strong SQL skills and solid command of data transformation and modeling concepts
- Power BI expertise as a natural extension of your Fabric work – DAX, Power Query, semantic models
- Track record of owning end-to-end data solutions, not just the reporting layer
- Sharp analytical thinking – you can look at a messy dataset and immediately know where to start
- Confident communicator who can lead conversations with both business and technical stakeholders, not just present to them
- Genuine interest in where Fabric is heading – Copilot/AI features, governance, automation
- Fluent in Czech and English
Jan Láznička
Data Engineering Team Lead
What can you expect
- Work on international projects using cutting-edge data tools
- 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
- Continuous learning and development to keep your skills sharp
- If you're a keen sportsman, you'll find plenty of company here :)
I've enjoyed all these years doing meaningful projects that make a real impact. I see people growing around me and how we export their Czech know-how to the whole of Europe.
Tomáš Frnka, VP Europe
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