Azure Data Platform Engineer - Fabric & AI Analytics

Atos; Kraków; Hybrid; PLN 120,000 - 180,000; Full time

Benefits offered by this job

Private medical and dental care

Hybrid working mode (max 2 days/month)

Sports and wellness benefits

Certifications and training

Community and expert networks

Job summary

Atos Kraków is seeking a Medior Consultant specialized in modern data analytics within the Microsoft cloud ecosystem. You will bridge data engineering and business consulting, implementing Microsoft Fabric, integrating data solutions in Azure, and delivering AI-powered capabilities (including Copilot and Azure AI) to help clients make better business decisions.

The role involves designing data architectures, building ETL/ELT processes, and collaborating with stakeholders to deliver analytics

Qualifications

• 3–4+ years in Azure Data Engineering or Business Intelligence.
• Hands-on experience with Microsoft Fabric.
• Strong SQL knowledge.
• Solid understanding of Azure Data Lake, Azure SQL, Azure Data Factory.
• Fluent Polish and English (B2+).

Responsibilities

• Design data architectures based on Microsoft Fabric ecosystem (OneLake, Data Factory, Lakehouse, Warehouse).
• Build and optimize ETL/ELT with Azure Data Factory and Synapse notebooks (Spark/PySpark).
• Implement AI-driven solutions with Azure OpenAI, Copilot, and AI automation in Fabric.
• Develop data models for advanced analytics and integrate with Power BI.
• Collaborate with stakeholders to translate business needs into IT solutions.

Skills

Azure Data Engineering

Microsoft Fabric

SQL

Azure services

Polish & English (B2+)

Power BI

Azure OpenAI / Copilot

Job description

Atos Kraków is seeking a Medior Consultant specialized in modern data analytics within the Microsoft cloud ecosystem. You will bridge data engineering and business consulting, implementing Microsoft Fabric, integrating data solutions in Azure, and delivering AI-powered capabilities (including Copilot and Azure AI) to help clients make better business decisions.

The role involves designing data architectures, building ETL/ELT processes, and collaborating with stakeholders to deliver analytics