Senior Data/PowerBI Engineer with Genie

About Entrada AI Entrada AI is a specialized consulting partner and a strategic portfolio company of Databricks Ventures. We were recently named the Genie Partner of the Year (2026) for our work deploying Databricks Genie at enterprise scale—bridging the gap between AI ambition and the trusted, governed data required for accurate responses. With over 150 Databricks projects delivered, we unlock self-service analytics for Fortune 500 leaders. Databricks invested in us because of our technical excellence, placing us in the "inner circle" of the ecosystem. For our engineers, this means direct access to product roadmaps, private previews, and the teams building the platform. You will join a team of industry veterans who value clean architecture over quick fixes. We don't just maintain pipelines; we solve complex architectural challenges. About the Role As a Senior Data/Power BI Engineer, you will own the end-to-end development of semantic models within the Databricks ecosystem. You will act as the technical bridge between business stakeholders and data engineering teams, managing high-scale models (up to 70M rows) where sub-second performance is the standard. Key Responsibilities Direct Lake Optimization : Manage and tune high-scale models (10M–70M rows) to ensure sub-second performance for concurrent power users, moving beyond standard Import/Direct Query methods. Logic Reverse-Engineering : Lead the migration of complex WebFOCUS reports to Power BI. This involves deconstructing legacy business logic across 1,500+ columns and 800+ dynamic filters and rebuilding them into streamlined, modern BI assets. Advanced DAX Development : Write, test, and deploy production-ready DAX measures and calculated columns. You will be responsible for the accuracy and performance of the calculation layer. Security & Governance : Implement robust Row-Level Security (RLS) for complex financial access patterns and manage deployments via CI/CD pipelines (Jenkins + BitBucket). Technical Bridge : Act as the lead consultant between the business, UX designers (Figma), and Databricks engineers. You will translate business requirements into technical BI tasks. Performance Tuning : Take end-to-end responsibility for the BI data chain. Partner with engineers to optimize Delta Lake tables (V-Order, partitioning, compaction) for optimal downstream BI consumption. Requirements Power BI Mastery : 4+ years in Data Analytics/BI with at least 3 years of intensive Power BI development. Databricks Specialization (Non-Negotiable) : Hands-on experience with Databricks environment. Genie experience Modeling Expert : Knowledge of Star Schema implementation and the Medallion data architecture. DAX Specialist : Advanced proficiency in writing complex, performance-tuned DAX (iterators, filters, and time intelligence). Consultancy Skills : High-level English (C1+) with the ability to manage stakeholder expectations and lead technical discussions in a multi-vendor environment. The Offer Cooperation Models : Poland: Available via Employment Contract (UoP) or B2B. Romania/ Greece: Available via B2B only. 100% Remote : Full flexibility to work from anywhere in Poland/ Romania / Greece High-End Tech : Apple MacBook Air M4 15" provided to all engineers. Referral Bonus : Bonus for bringing other top-tier engineers to the team. Professional Growth : Certification Support : Coverage for all Databricks technical certifications. Industry Leadership : Support in reaching the highest tiers of Databricks expertise (such as the Champion program) tailored to your specific career track. Personal Branding : Opportunities to present at global industry conferences and contribute to technical thought leadership. Expert Mentorship : Direct collaboration with Databricks MVPs and core product teams, giving you a front-row seat to the platform's evolution. Recruitment Process Introductory Call (20 min) : Short conversation with our Recruiter to discuss your background and expectations. Technical Interview (60 min) : Deep dive into your technical skills with our engineering team. Optional Client Interview : Required only in specific cases. Decision & Offer : We aim to close the process and provide feedback efficiently.