Data Engineer with MS Fabric

Technologies we use

Expected

• Microsoft Fabric
• Power BI
• DAX
• SQL
• Python
• PySpark
• Microsoft Fabric Lakehouse & Warehouse
• Data Pipelines & Dataflows Gen2
• Generative AI (GenAI)
• LLM & Prompt Engineering

Optional

• Azure OpenAI / Azure AI Foundry

About the project

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.

Your responsibilities

• 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.

Our 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.

Optional

• Experience with AI adoption reporting, ROI measurement, or digital transformation initiatives.
• Familiarity with Azure OpenAI or Azure AI Foundry.

What 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.

Benefits

• sharing the costs of sports activities
• private medical care
• sharing the costs of professional training & courses
• integration events

This is how we work