Your missionWe are looking for a Senior Analytics Engineer / Semantic Model Owner (Microsoft Fabric / Power BI) to help build and govern QBi’s next-generation analytics foundation.This is not a report-factory role.The role exists to reduce one-off reporting effort by building reusable, governed and scalable data products : Microsoft Fabric data structures, Power BI semantic models, KPI definitions, validation rules, reporting patterns and renewable-domain data models that can be reused across customers, internal teams and future product modules.The adecuado candidate combines strong data modeling and Microsoft Fabric capability with data-quality discipline and the ability to translate industry-standard workflows into robust analytical structures .This person should be comfortable working with business stakeholders, product teams, data engineers, analysts and leadership.



They must be able to distinguish between a one-off dashboard request and a recurring data-model need that should become part of QBi’s reusable data foundation.MissionYour mission will be to turn QBi’s renewable-energy knowledge into scalable data and semantic-model assets.You will be instrumental in showing how and helping QBi move from fragmented reporting and ad hoc BI execution toward a governed analytics layer that supports:Existing customer reporting and reporting modernization; Microsoft Fabric / PowerBI semantic-model governance; Technical Analytics and data-quality logic; Data Model-as-Infrastructure / Renewable Data Foundation offers; Future AI-native productand operational workflows; Future Revenue Copilot and hybrid revenue intelligence products.What This Role Is — and Is NotThis role ISa senior analytics engineering role; A semantic model ownership role; A Microsoft Fabric / Power BI governance role; A renewable-domain data-model role; A bridge between business needs, data structures and scalable analytics; A role that uses AI to accelerate analytics engineering, documentation and model revi

📌 Senior Analytics Engineer (Madrid)
🏢 QBI Solutions
📍 Madrid