Microsoft Azure

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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

Named Account Executive (Digital Natives) @ databricks

FR | 2025-12-28
This role is a misrepresentation of the actual responsibilities and expectations of an enterprise sales executive. The job description is overly promotional, lacks concrete details about the... read more »
AI/ML, Databricks, Management, Cloud Computing, SaaS, AWS, Azure, GCP, C, Analytics, Data Lakehouse, Spark, Delta
data scientist

Accelerator Software Engineering (Paris) @ sanofi

FR | 2025-12-28
Sanofi's Accelerator Software Engineering role in Paris promises cross-functional impact at the enterprise scale, but the hype around AI-powered biopharma belies the reality of steady... read more »
R, AI/ML, Cloud Computing, Computer Science, AWS, GCP, Azure, IaC, Terraform, JavaScript, TypeScript, React, API, Cyber Security, CI/CD, DevOps
promoted

Masthead Data

Masthead is a data reliability platform built for Google Cloud, focused on detecting anomalies and ensuring smooth data pipeline operations. It offers real-time notifications for data issues and pipeline errors without direct access to your sensitive data.

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data scientist

Architecte IA – Expert Azure AI Foundry & Microsoft Copilot Studio @ viseo

FR | 2025-12-28
This role is a misrepresentation of what data engineering entails. The job description claims to be about architecting AI solutions using Azure AI Foundry and Copilot Studio, but it lacks concrete... read more »
AI/ML, Azure, Microsoft, Data Science, Analytics, LLM, Data Lake, Databricks, Synapse, Python, C, NLP, Agile/Scrum, CRM, ERP, API, MLOps, Management, Cloud Computing, GDPR/CCPA
data scientist

Architecte Data - F/H @ niji

FR | 2025-12-27
Niji, a multidisciplinary consultancy, seeks an Architect Data & IA to modernize data architectures, model data, and lead AI/ML integration in cloud environments (Azure, GCP, AWS). Differentiator:... read more »
Management, AI/ML, Data Analytics, Data Science, MLOps, DataOps, Cloud Computing, Azure, GCP, AWS, LLM, Vector DB, Data Engineering, Data Lakehouse, API
data scientist

Fullstack Software Engineer - Core @ dataiku

FR | 2025-12-27
Dataiku is recruiting a Fullstack Engineer to influence Dataiku DSS across data prep, visualization, ML ops, and AI governance. You’ll juggle back-end Java and Python with front-end work in... read more »
Dataiku, AI/ML, Analytics, Cloud Computing, SaaS, Data Science, LLM, GitHub, SQL, API, Java, Python, DataViz, React, GenAI, TensorFlow, PyTorch, JavaScript, Kubernetes, Spark, AWS, Azure, PostgreSQL
data scientist

Solution Engineer @ c3-ai-enterprise-ai

FR | 2025-12-25
The role of Solution Engineer at C3 AI presents a challenge for those seeking to apply their technical skills in a rapidly evolving AI platform environment. The position requires deep expertise in... read more »
AI/ML, SaaS, GenAI, Management, JavaScript, Python, Git, React, Cloud Computing, GCP, AWS, Azure, SQL, NoSQL, Agile/Scrum
promoted

The Fundamentals of Analytics Engineering

The Fundamentals of Analytics Engineering gives a holistic understanding of the analytics engineering lifecycle by integrating principles from both data analysis and engineering. It's a book that teaches concepts and best practices, not just tools and technologies.

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data scientist

Consultant ML/AI Engineer - F/H @ onepoint

FR | 2025-12-24
The role involves transforming prototypes into scalable production solutions using MLOps pipelines with tools like MLflow and Kubernetes, focusing on robust, performant AI models. A key... read more »
AI/ML, Data Management, Data Analytics, Data Science, MLOps, Docker, Kubernetes, Databricks, Spark, Delta, PySpark, SQL, Scala, Java, Data Streaming, Data Engineering, Data Lakehouse, CI/CD, Git, Python, TensorFlow, PyTorch, Cloud Computing, Azure, AWS, GCP, Management