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

Azure DevOps Engineer @ atos

NL | 2025-12-29
This role is a misrepresentation of the complexities of cloud DevOps. The posting claims to offer a ‘cutting-edge’ AI-driven Azure experience, but the responsibilities are vague, and the... read more »
Azure DevOps, CI/CD, DevOps, Azure, AI/ML, Cloud Computing, IaC, Terraform, Bicep, Git, Docker, Kubernetes
data scientist

Staff Product Manager @ databricks

NL | 2025-12-28
This role requires a seasoned product manager with deep technical expertise in cloud infrastructure, data governance, and open-source tools, to oversee the development of a critical component of... read more »
Databricks, Data Governance, Cloud Computing, Management, Marketing, ETL/ELT, AI/ML, Computer Science, AWS, Azure, SQL, Analytics, Data Lakehouse, Spark, Delta
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.

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data scientist

Senior Data and AI Consultant @ atos

NL | 2025-12-27
Atos seeks a Senior Data & AI Consultant to lead data-driven transformation projects, emphasizing strategic integration of AI, data, and analytics. The role requires expertise in digital... read more »
Cloud Computing, AI/ML, Analytics, Management, Data Science, Agile/Scrum, DataViz, Power BI, Azure, Databricks, Python
data scientist

Data Scientist @ hunter-douglas-us

NL | 2025-12-27
Hunter Douglas seeks a Principal Data Scientist to translate strategy into measurable impact across pricing, CX, and growth amid a multi-year digital transformation. You frame problems with... read more »
AI/ML, Management, GenAI, RAG, Python, SQL, LLM, Git, ETL/ELT, API, Cloud Computing, GCP, Azure
data scientist

Business Analyst AI Projects @ ernstandyoung

NL | 2025-12-26
EY's Business Analyst AI Projects positions you as the bridge between business stakeholders and technical squads, diagnosing AI opportunities, shaping requirements, and building ROI cases. It... read more »
Go, AI/ML, KPI, Management, Data Analytics, Data Science, Power BI, Tableau, Agile/Scrum, Data Governance, Analytics, SQL, NLP, Cloud Computing, AWS, Azure, GCP, MLOps, Python, R, Looker, Confluence, Jira, LLM, PhD, Computer Science, DevOps, IoT, GenAI, Amazon SageMaker, NoSQL, Data Streaming, API, Java, Scala, Docker, ETL/ELT
data scientist

Data Scientist Short Term Trading @ eneco

NL | 2025-12-26 | EUR 86000 - 128000 / year
Eneco’s Flex Optimization Data Scientist operates at the intersection of data science and real-time energy trading, building optimization strategies, bidding algorithms and ML models to maximise... read more »
AI/ML, Data Science, Agile/Scrum, Computer Science, Cloud Computing, Python, SQL, Databricks, Data Streaming, Azure, Kubernetes, Airflow, Snowflake
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

Data Scientist - QuantumBlack, AI by McKinsey @ quantumblack

NL | 2025-12-24
This role is a high-stakes, high-reward opportunity for a data engineer with a strong technical foundation. The position requires expertise in Python, PySpark, and cloud platforms, with a focus on... read more »
Analytics, R, AI/ML, Python, PySpark, SQL, Airflow, Databricks, Docker, Kubernetes, Cloud Computing, AWS, GCP, Azure, PhD, Computer Science, SPSS, SAS, Hadoop, Management