Data Engineer with MS Fabric w Warszawa, Polska

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.

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,