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Microsoft, when the world moved to the cloud, didn't want to be left holding the on-premise bag. Thus emerged Azure, a platform promising to deliver everything-as-a-service with the comforting familiarity of Windows Server underneath. It aimed to be the enterprise’s easy transition, a way to lift-and-shift workloads without retraining entire departments. The reality, of course, is a bit messier. Azure is powerful, undeniably, but navigating its vast ecosystem can feel like exploring a Byzantine bureaucracy.

It’s essentially Amazon Web Services, but with a distinctly Microsoft flavor – meaning more integration with existing Microsoft products, and a pricing structure that requires a PhD in economics to decipher. While AWS still dominates, Azure has carved out a strong niche with enterprises already deeply invested in the Microsoft stack. Today, it's a mature platform, powering everything from simple websites to complex AI applications, and constantly battling AWS and Google Cloud for cloud supremacy – a battle fought largely in PowerPoint presentations and quarterly earnings reports.

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Jobs in using Microsoft Azure for but please no

analytics engineer

Business Intelligence Consultant @ publicis-groupe-nl

NL | 2025-12-27
A BI consultant role requires at least three years' experience with Power BI, SQL, ETL, and cloud solutions like Azure, focusing on data accuracy, modeling, and connecting technologies for... read more »
BI, Go, Azure, SQL, ETL/ELT, Python, Cloud Computing, Power BI, KPI, DWH, dimensional modeling, ADF, Data Lake, Analytics
analytics engineer

Medior/Senior Fabric Engineer @ pwc-nederland

NL | 2025-12-26
A Fabric Engineer role focused on managing Power BI Online, Databricks, and Azure Cloud integrations during a digital transformation. The unique aspect is the emphasis on orchestrating and... read more »
BI, Analytics, AI/ML, Fabric, Power BI, Databricks, Azure, Management, CI/CD, Agile/Scrum
promoted

O'Reilly: Building AI Agents with Model Context Protocol (MCP)

Design and implement composable agent architectures using MCP. Understand the MCP architecture and how it enables AI applications to access external context. Build MCP servers that expose tools, resources, and prompts to LLMs.

analytics engineer

BI Developer - Rotterdam (S) @ sbmoffshore

NL | 2025-12-26
SBM Offshore seeks a Business Intelligence Developer capable of designing Power BI reports, developing data pipelines using Azure Data Platform, and supporting data-driven decision-making. The... read more »
Data Management, BI, Power BI, Azure, Agile/Scrum, DAX, Data Modelling, Data Engineering, Synapse, Data Lakehouse, PySpark, SQL, Azure DevOps, Computer Science, DWH