Data Engineer with MS Fabric New
Posted
Summary
Data engineer at Pretius building a Microsoft Fabric data and reporting solution for PwC US that measures AI adoption and business value. Day to day: Fabric pipelines, data/semantic models, Power BI reports with DAX, and stakeholder work, moving toward GenAI conversational data access (Fabric Data Agents, Copilot).
At Pretius, we are looking for a Data Engineer with MS Fabric to build a data and reporting solution that measures AI adoption and business value for PwC US. The role combines data engineering, Power BI development, and business stakeholder collaboration, with a future focus on enabling conversational access to data through GenAI solutions.
Project / Role
- Build and maintain data pipelines in Microsoft Fabric, integrating data from multiple sources.
- Develop data transformations, data models, and semantic models for reporting and analytics.
- Create and maintain Power BI reports, including DAX measures and business KPIs.
- Collaborate with business stakeholders to define and measure AI adoption and business value.
- Contribute to conversational data access solutions using Fabric Data Agents, Power BI Copilot, or custom LLM-based solutions.
- Validate the accuracy and reliability of AI-generated answers by designing test scenarios and defining the scope of supported queries.
Requirements
- Hands-on experience with Microsoft Fabric, including Lakehouse/Warehouse, pipelines, Dataflows Gen2, and notebooks.
- Strong Power BI skills, including data modelling, DAX, and semantic models.
- Good knowledge of SQL and experience with Python and/or PySpark.
- Experience integrating data from various sources, such as APIs, files, databases, and SaaS platforms.
- Knowledge of or a strong interest in GenAI solutions for data analytics, including text-to-SQL/DAX, Fabric Data Agents, or Power BI Copilot.
- Understanding of prompt engineering and approaches to evaluating LLM output quality.
- Strong communication skills and the ability to independently clarify ambiguous business requirements.
- Fluent English, with confidence in working directly with US-based stakeholders.
Nice to have
- Experience with AI adoption reporting, ROI measurement, or digital transformation initiatives.
- Familiarity with Azure OpenAI or Azure AI Foundry.
What do we offer?
- We focus on long-term relationships based on fair principles and reliability.
- Co-financing of the Multisport card and Medicover private healthcare.
- Modern office available.
- Team bonding activities, internal courses, conferences, certifications.