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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
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data scientist
Lead, AI Engineer & Scientist, Takeda Japan Innovation Center (TJIC), Global DD&T(Data, Digital & Technology) @ takeda-pharmaceuticals
JP | 2025-12-28
Takeda's position for an AI Engineer at its Japan Innovation Center sounds enticing until you dig deeper. The role demands a rare trifecta of proficiency in Japanese, AI/ML experience, and a dose...
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AI/ML, Big Data, LLM, GitHub, Computer Science, PhD, Data Science, AWS, Databricks, GenAI, Cloud Computing, GCP, Azure, Python, SQL, TypeScript, ETL/ELT, Jira | ||
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data scientist
IT Procurement Sourcing and Strategy Specialist (Cloud Products including AI) - IT Procurement Office, Technology Management Services Supervisory Department @ rakuten
JP | 2025-12-28
Rakuten’s IT Procurement Office seeks a seasoned sourcing specialist who can combine traditional supplier negotiations with a nose for cloud and AI trends. The role centers on cost optimization,...
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Management, Cloud Computing, SaaS, AI/ML, Cyber Security, Azure, GCP, CRM, Python, AWS | ||
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promoted
O'Reilly Power BI LearningMaster Power BI fast: build basic-to-advanced visuals, apply smart design, use dynamic slicers/filters & new cards, choose the right chart, spotlight key insights, brand and theme reports, and seamlessly publish/share in the Service. |
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data scientist
Sr. Solutions Engineer @ databricks
JP | 2025-12-27
An analytics-heavy pre-sales role: Sr Solutions Engineer guiding technical evaluation, drafting reference architectures, and building demo apps to push the Databricks Data Intelligence Platform...
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Analytics, AI/ML, Big Data, Cloud Computing, Databricks, Data Engineering, Data Science, AWS, Azure, GCP, Spark, Hadoop, DWH, BI, Python, Data Lakehouse, Delta | ||
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data scientist
Data Scientist, Digital Advertisement/Marketing - Global Ad Technology Supervisory Department (GATD) @ rakuten
JP | 2025-12-27
Rakuten’s GATD is hiring a data scientist to own end-to-end ad delivery optimization—from hypothesis, feature engineering, and offline evaluation to online deployment, A/B testing, calibration,...
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Marketing, Management, Big Data, AI/ML, KPI, MLOps, GCP, Dataflow, Cloud Computing, BigQuery, SQL, Terraform, Ansible, Python, Go, Pandas, NumPy, DataViz, Spark, Analytics, Data Quality, Computer Science, GenAI, Data Streaming, Kafka, Flink, Beam, CI/CD, Docker, Kubernetes, AWS, Azure | ||
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data scientist
Solution Architect (Data & AI) @ london-stock-exchange-group
JP | 2025-12-25
Bridge-builder role that straddles pre-sales and delivery, with GenAI at the core. In Tokyo, you translate business needs into prototypes and POCs that pair Generative AI with financial datasets...
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GenAI, LLM, Cloud Computing, Azure, AWS, GCP, Databricks, Snowflake, Fabric, AI/ML, API, Data Streaming, RAG, Python, SQL, Git, GitHub, CI/CD, Data Science, TensorFlow, PyTorch, Management, Data Engineering, Analytics, Go | ||
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data scientist
Principal - Data @ slalom-consulting
JP | 2025-12-24
Slalom is looking for a strategic, bilingual data leader to design and deliver end-to-end data platforms for Japanese enterprises. The role spans data strategy, architecture, engineering,...
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Analytics, AI/ML, Cloud Computing, Databricks, Snowflake, Data Governance, Computer Science, Data Science, GenAI, AWS, Azure, GCP | ||
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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
Cloud & AI Specialist (メガバンク担当Azure営業) @ microsoft
JP | 2025-12-24
Leads sales efforts for high-value customers within the financial services sector, leveraging AI-driven market intelligence and cloud technologies. Differentiator includes a focus on integrating...
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Azure, AI/ML, Analytics, Cloud Computing, Microsoft, Management, GitHub, Computer Science, Cyber Security | ||
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data scientist
Senior Consultant - Data @ slalom-consulting
JP | 2025-12-23
Slalom’s Japan data-leader role reads as a senior, client-facing tech leadership slot rather than a pure engineering post. The brief demands 5+ years in data consulting, fluency in Japanese and...
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Analytics, AI/ML, Cloud Computing, Databricks, Snowflake, Data Governance, Computer Science, Data Science, GenAI, AWS, Azure, GCP |