Senior Data / Analytics Engineer

Responsibilities: Data flows in Microsoft Fabric (ingestion, transformations, data modeling) from multiple sources Semantic model and Power BI reports Defining AI adoption and business value KPIs together with business stakeholders Conversational access to data based on the semantic model (e.g. Fabric Data Agent, Copilot in Power BI, or a custom LLM-based solution) Ensuring reliable responses through test question sets, accuracy validation, and clearly defined boundaries regarding the types of questions the solution can handle

5+ years of professional experience Hands-on experience with Microsoft Fabric (Lakehouse/Warehouse, pipelines, Dataflows Gen2, notebooks) Very good knowledge of Power BI: data modeling, DAX, semantic models Good SQL skills and experience with Python/PySpark Experience integrating data from various sources (APIs, files, databases, SaaS platforms) Experience with or a genuine interest in GenAI solutions for data, including text-to-SQL/DAX, Fabric Data Agents or Copilot, as well as basic knowledge of prompt engineering and LLM response quality evaluation Confidence in communicating directly with business stakeholders and independently clarifying unclear requirements Ability to think in terms of KPIs and business value Proactive and independent approach Fluent English for working with a US-based client

Experience with reporting on tool adoption, ROI, or digital transformation Knowledge of Azure OpenAI / Azure AI Foundry Offer: Pr