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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4875
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Jobs in using Microsoft Azure for but please no
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data engineer
Product Owner / Data Engineer @ iqvia
ES | 2025-12-28
The role involves managing data engineering and AI product development within a fast-paced environment, with the notable differentiator being the need for deep technical fluency combined with...
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Data Engineering, AI/ML, Analytics, Snowflake, Databricks, Agile/Scrum, Data Quality, ETL/ELT, Data Modelling, API, Cloud Computing, Azure, Management, Computer Science, Data Science, Spark | ||
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data engineer
Senior Data Engineer @ kpmg-espana
ES | 2025-12-28
This role is a high-impact opportunity for a data engineer with a strong technical foundation, requiring expertise in cloud infrastructure, ETL processes, and data visualization. The position...
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Data Analytics, Azure, ETL/ELT, Power BI, Python, SQL, Cloud Computing, Data Lake | ||
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promoted
The Fundamentals of Analytics EngineeringThe 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 engineer
Blockchain DevOps Engineer @ cryptocom
ES | 2025-12-27
Maintains blockchain infrastructure and automates cloud-based workloads with a DevOps emphasis. You’ll configure public blockchain nodes, assess network setups, and develop a practical...
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Blockchain, DevOps, Cloud Computing, Cyber Security, Computer Science, Azure, IaC, Kubernetes, Terraform, Docker, Ansible, Grafana, Prometheus, ELK, Kibana, Linux | ||
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data engineer
Senior Data Engineer - Lighthouse @ kpmg-espana
ES | 2025-12-27
Senior Data Engineer at KPMG Lighthouse in Madrid promises cloud-native data work with Snowflake, Databricks and Microsoft Fabric as core platforms. You will design, build and optimize scalable...
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Analytics, Cloud Computing, Snowflake, Databricks, Fabric, Python, SQL, Scala, DataOps, CI/CD, Azure, AWS, GCP, Kubernetes, Docker, API | ||
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data engineer
Databricks Platform Engineer (f/m/d) @ axpo-group
ES | 2025-12-26
Axpo seeks a Databricks Platform Engineer to ensure the secure, scalable operation of its Azure-based data platform, with an emphasis on automation and compliance. The standout feature is their...
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Management, Analytics, Databricks, Azure, Terraform, CI/CD, Datadog, Grafana, GDPR/CCPA, API, Computer Science, Cloud Computing, Azure DevOps, Python, Delta, GitHub, Docker, Linux, Airflow, Dagster, Microsoft | ||
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data engineer
Data Engineer (f/m/d) @ axpo-group
ES | 2025-12-25
Axpo’s Group IT role looks like a straight path for a data engineer who likes stitching Databricks on Azure into a lakehouse while juggling on-prem and cloud sources. You’ll build and scale...
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BI, Databricks, Azure, Cloud Computing, ETL/ELT, Delta, Data Lakehouse, Data Quality, Power BI, Data Governance, Data Engineering, Python, PySpark, SQL, Git, CI/CD, GitHub, Computer Science, Agile/Scrum, Microsoft | ||
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promoted
The Fundamentals of Analytics EngineeringThe 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 engineer
Data Engineer Scala Spark @ capgemini
ES | 2025-12-25
Capgemini pitches a Data Engineer role inside a global, multi-sector data practice. Expect to build pipelines from scratch, manage batch and real-time workloads with Apache Spark, and stitch ETLs...
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Spark, Python, Scala, Cloud Computing, Azure, AWS, GCP, Databricks, Synapse, Airflow, AI/ML | ||
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data engineer
Solution Architect (AWS & Azure) @ epamneoris
ES | 2025-12-24
Neoris, now part of EPAM, seeks a Solution Architect to design and lead complex Cloud architectures on AWS and Azure, incorporating microservices, Kubernetes, and IaC. The role's differentiator is...
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Cloud Computing, AWS, Azure, DevOps, IaC, Terraform, Kubernetes, CI/CD, Prometheus, Grafana, Agile/Scrum | ||
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data engineer
Spark Developer con SQL (Híbrido Málaga) @ ustglobal
ES | 2025-12-23
UST pitches itself as a US multinational with Top Employer status, and the role cleanly maps to a bank-facing data engineering mandate: build and optimize Spark pipelines in Azure Databricks,...
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Spark, SQL, Databricks, GitHub, Agile/Scrum, PySpark, Azure |
