120 azure English-speaking jobs in Munich

Azure Synapse, Azure AI Foundry, MS Fabric, Databricks • Significant expertise in portfolio modelling

spearhead the design, implementation, and operation of scalable and secure solutions, including SAP and Azure ... Very good understanding of Azure technologies (Data Lake, Databricks, Spark, Power BI) and/or SAP technologies

Build and manage infrastructure through DevOps, CI/CD, and automation frameworks (e.g., Ansible, Azure

Proficiency with git, CI/CD tools, JIRA, and cloud platforms like AWS, Azure, or GCP.

- Training opportunities and certifications (e.g., ITIL, ACP‑100, ACP‑400, AWS, Azure, Kubernetes and

scalable, and fault-tolerant infrastructure and application services on public cloud platforms (AWS, GCP, Azure ... Cloud Expertise: Expert-level knowledge of at least one major cloud provider (AWS, GCP, or Azure), including

Teradata / Synapse/ Snowflake or SAP) Working knowledge of two or more common Cloud ecosystems (AWS, Azure

version control systems (e.g., Git) Proven experience in large-scale public cloud migrations (AWS, Azure

VPNs, access management, and server security Hands-on experience with Microsoft security ecosystem (Azure

You have professional experience working with a cloud-based environment (AWS* or Azure) and an understanding

unstructured  Experience with cloud-based AI services and platforms such as Google AI Platform, or Azure

System Administrator in a fast-paced or security-critical environment Strong knowledge of Entra ID (Azure

frameworks to ensure code reliability and maintainability Experience with cloud - we're on AWS (Azure

Operation of Azure streaming. Video-directing of live and hybrid events.

Excel, Stata, Python, R, SQL, SAS, ArcGIS/ArcPy, or Cloud computing (Databricks/Spark, Google Cloud, Azure

distributed systems.In-depth and hands-on knowledge of Kubernetes as well as with major cloud providers (AWS, Azure

Object-oriented programming for R ~ R6 [R] Azure Services: DevOps, Synapse Atlassian Products: Jira,

Deep understanding of cloud infrastructure (AWS/Azure), data warehousing, CRM systems (e.g., Salesforce

Skills Infrastructure: Experience with GPU-based distributed training, cloud ML platforms (AWS, GCP, Azure

multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure