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. Get to know us better at our LinkedIn Cocuma profile or Instagram ⭕. We are looking for a self-driven and motivated Fabric/PBI enthusiast with great communication skills and BI background who is eager to learn new tools and techniques and work on customer projects across various industry verticals. What will you do Transform raw data following best practices and build clean scalable data models that serve as the foundation for reporting Set up and maintain pipelines so transformations run automatically Build Power BI reports and dashboards that give the business real answers Own the full data flow from end to end source → transform → model → report Work with a PM to pick up business requirements turn them into BI solutions and validate outputs with end users Move your work through dev test and production environments using Azure DevOps What do we expect 2+ years of hands-on experience with Power BI – data modeling DAX Power Query dataflows Practical experience with Microsoft Fabric – whether that's Lakehouse Data Factory Pipelines or Warehouses Solid SQL skills and a good grasp of data transformation concepts Strong analytical thinking – you can look at a messy dataset and know where to start Clear communicator – comfortable presenting to both business stakeholders and technical teams Curious about what's next – AI features in Fabric new PBI capabilities automation data governance Fluent in Czech and English What we offer for you 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 🏃♀️ By submitting your application you confirm that you have read and understood our Data Privacy Notice for Job Applicants available under this link