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PRETIUS SOFTWARE SP. Z O.O.

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Data Engineer with MS Fabric

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Summary

Data Engineer building data pipelines and Power BI reporting in Microsoft Fabric to measure AI adoption and business value for client PwC US, with a future focus on GenAI-based conversational data access (Fabric Data Agents, Power BI Copilot). Core stack: Microsoft Fabric, Power BI/DAX, SQL, Python/PySpark.

Nasze wymagania:

  • 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.

Mile widziane:

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

O projekcie:

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.

Zakres obowiązków:

  • 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.

Oferujemy:

  • 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.

Skills

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See also

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