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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

data scientist

Manager AI & Data Analytics / Data Science (m/w/d) in Berlin @ deloitte

DE | 2025-12-25
Deloitte seeks a Manager in AI & Data Analytics within Digital Risk Advisory, promising end-to-end impact from strategy to scalable AI for Fortune 500 clients. You’ll lead teams from data... read more »
AI/ML, Data Analytics, Data Management, Data Engineering, Data Science, Analytics, Cloud Computing, AWS, GCP, Azure, Python, TensorFlow, Keras, PyTorch, R, Java, C++, SQL, Spark, Hadoop, Qlik, Tableau
data scientist

Senior Data Scientist, MarTech Alliance (f/m/x) @ hellofresh

DE | 2025-12-24
A Senior Data Scientist focusing on predictive analytics and advanced feature engineering for HelloFresh's AI decisioning platform, with a differentiator being the exploration of Generative AI for... read more »
AI/ML, Analytics, GenAI, Marketing, Data Science, Python, Pandas, SQL, CRM, Databricks, PySpark, Cloud Computing, AWS, GCP, Azure, LLM