1 to 25 of 156 Azure Jobs in Devon

package and flexible working. The ideal Data Engineering Manager will come from a data engineering background and have strong knowledge in SQL, Snowflake, Microsoft Azure, Azure Data Factory and Azure DevOps. The Engineering Manager will design, improve and maintain robust data pipelines within data architecture. To be … Snowflake - beneficial Experience managing small teams of Data Engineers Strong experience working in a cloud environment and knowledge in the following very beneficial: Microsoft Azure, Azure Data Factory and Azure DevOps Experience working in fast-paced Agile environments Creativity and curiosity for solving complex problems. If you More ❯

that by continually driving up our standards today, we’ll build a better tomorrow for our communities. We currently have an opportunity for an Azure Data Architect to join our team based in Exeter or Bristol or Redhill. Joining us on a Permanent Full time basis , you will receive … and driving the Pennon Group'sarchitecture for data utilisation to meet business objectives while ensuring alignment with governance frameworks and security standards. Leveraging Microsoft Azure’s data platform capabilities, the Data Architect designs and implements scalable, secure, and efficient data solutions that enable data-driven decision-making. What you … ll be doing: Design and implement data solutions on Azure, using a range of services like Azure SQL Database, Data Factory, Data Lake Store, Data Lake Analytics, Stream Analytics, Azure Storage, Cosmos DB and more Making informed decisions on the strategic direction and roadmap for the use More ❯

and offer a wide range of benefits to support staff wellbeing. Your Future Starts Here PURPOSE OF JOB: We’re looking for an experienced Azure Data & AI Engineer with a strong focus on advanced analytics, machine learning, and applied AI - particularly Generative AI. This role will suit a technically … capable professional who combines real-world AI/ML solution delivery experience with a solid understanding of the Azure ecosystem. The ideal candidate will bring hands-on expertise in designing and building AI-driven solutions using Azure-native tools and frameworks such as Azure OpenAI, Prompt Flow … Semantic Kernel, Azure AI SDKs (including azure-ai-projects, azure-ai-inference), and open-source frameworks like LangChain. Familiarity with traditional Azure AI services (e.g. Document Intelligence, Vision, Language, and Speech) is expected, alongside a developer-oriented mindset (code-first) and experience with integrating AI workloads More ❯

and offer a wide range of benefits to support staff wellbeing. Your Future Starts Here PURPOSE OF JOB: We’re looking for an experienced Azure Data & AI Engineer with a strong focus on advanced analytics, machine learning, and applied AI - particularly Generative AI. This role will suit a technically … capable professional who combines real-world AI/ML solution delivery experience with a solid understanding of the Azure ecosystem. The ideal candidate will bring hands-on expertise in designing and building AI-driven solutions using Azure-native tools and frameworks such as Azure OpenAI, Prompt Flow … Semantic Kernel, Azure AI SDKs (including azure-ai-projects, azure-ai-inference), and open-source frameworks like LangChain. Familiarity with traditional Azure AI services (e.g. Document Intelligence, Vision, Language, and Speech) is expected, alongside a developer-oriented mindset (code-first) and experience with integrating AI workloads More ❯

Datasphere . Experience with other SAP technologies like SAP S/4HANA or SAP Fiori is a plus. Familiarity with cloud platforms like AWS, Azure, or GCP and their integration with SAP BTP. Knowledge of DevOps practices, CI/CD pipelines, and automation tools. Experience working with microservices architecture More ❯

Datasphere . Experience with other SAP technologies like SAP S/4HANA or SAP Fiori is a plus. Familiarity with cloud platforms like AWS, Azure, or GCP and their integration with SAP BTP. Knowledge of DevOps practices, CI/CD pipelines, and automation tools. Experience working with microservices architecture More ❯

meets business needs. Collaborate with teams to align software solutions with business objectives. Maintain and optimize systems across multiple platforms. Manage code repositories in Azure DevOps. Required Skills & Qualifications: Proven experience in commercial software development. Strong proficiency in Angular, SQL, and .NET technologies. Experience with Azure DevOps/… Proactive, collaborative, and capable of working in a fast-paced environment with multiple stakeholders. Nice-to-Have Skills: Experience developing cloud-based solutions in Azure (Azure SQL, APIs, Logic Apps, Websites, etc.) Knowledge of NoSQL databases like MongoDB. Familiarity with Docker for containerisation. Experience deploying and managing applications … using Azure Logic Apps. Interacting with Web APIs. PowerShell scripting. Managing IIS web applications. Workday or ServiceNow integrations. Benefits: 25 days annual leave plus bank holidays. #J-18808-Ljbffr More ❯

Intune for MDM and MAM Expert knowledge of Microsoft Autopilot for device provisioning and Windows 11 deployment strategies Proficient in Microsoft Entra ID (formerly Azure AD), including conditional access, identity protection, and device registration Expertise in scripting with PowerShell and automation using Microsoft Graph API Hands-on experience with More ❯

Intune for MDM and MAM Expert knowledge of Microsoft Autopilot for device provisioning and Windows 11 deployment strategies Proficient in Microsoft Entra ID (formerly Azure AD), including conditional access, identity protection, and device registration Expertise in scripting with PowerShell and automation using Microsoft Graph API Hands-on experience with More ❯

in model deployment techniques (e.g., serving models with REST APIs, gRPC, or via cloud services). Hands-on experience with cloud platforms (AWS, GCP, Azure) for model training and deployment. Deep understanding of MLOps concepts: monitoring, logging, CI/CD for ML, reproducibility. Experience with Docker and container orchestration More ❯

in model deployment techniques (e.g., serving models with REST APIs, gRPC, or via cloud services). Hands-on experience with cloud platforms (AWS, GCP, Azure) for model training and deployment. Deep understanding of MLOps concepts: monitoring, logging, CI/CD for ML, reproducibility. Experience with Docker and container orchestration More ❯

Essential Skills: Proven experience in Microsoft license and consumption billing management, procurement, and cost optimisation; Strong understanding of cloud service providers (e.g., Microsoft 365, Azure, AWS, and Google Cloud) and their billing models; Excellent analytical and problem-solving skills; Strong negotiation and contract management skills; Ability to work collaboratively More ❯

Dataverse and Dataverse for Teams as part of implementing Power Platform solutions. Hands on experience in the setup of CI/CD, ideally using Azure DevOps. A passion for and experience with industry-wide standards and best practices when designing and building solutions in the Power Platform. A focus More ❯

Dataverse and Dataverse for Teams as part of implementing Power Platform solutions. Hands-on experience in the setup of CI/CD, ideally using Azure DevOps. A passion for and experience with industry-wide standards and best practices when designing and building solutions in the Power Platform. A focus More ❯

Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like More ❯

Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like More ❯

. Desirable Skills & Experience: Experience with front-end frameworks such as Vue.js or React. Knowledge of containerisation technologies (Docker). Experience with cloud platforms (Azure, AWS, GCP). Understanding of DevOps practices and CI/CD pipelines. Familiarity with agile development methodologies. Awareness of compliance requirements (PCI, GDPR). More ❯

and strategize for future growth, ensuring infrastructure readiness to accommodate increased loads and scaling needs. Qualifications: Technical Expertise: Strong knowledge of cloud platforms (AWS, Azure, GCP), containerisation technologies, automation and orchestration tools. Familiarity with CI/CD pipelines and DevOps methodologies is essential. Scripting Proficiency: Proficiency in scripting/ More ❯

new processes and tools to streamline service quality and enhance delivery speed. Desirable Skills and Experience: Familiarity with cloud-based data platforms (e.g., AWS, Azure, Google Cloud) Understanding of DMS (Document Management Systems) and ability to extract and manipulate documents and associated data Understanding of spatial data and use More ❯

Tech & Architecture Deep knowledge of distributed systems, microservices, and cloud-native architectures Experience with CI/CD pipelines, containerisation (Docker, Kubernetes), and AWS/Azure/GCP Background in high-traffic platforms - ideally e-commerce or bookings Familiarity with payment systems, PCI compliance, and search/recommendation tooling Industry More ❯

new processes and tools to streamline service quality and enhance delivery speed. Desirable Skills and Experience: Familiarity with cloud-based data platforms (e.g., AWS, Azure, Google Cloud) Understanding of DMS (Document Management Systems) and ability to extract and manipulate documents and associated data Understanding of spatial data and use More ❯

using the latest technologies and with a DataOps culture. You can expect to get involved in a variety of projects in the cloud (AWS, Azure, GCP), while also gaining opportunities to learn about and use data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3 More ❯

availability Excellent problem-solving and communication skills Interest in, exposure of, or experience with Microsoft SQL Server (2016+) Familiarity with cloud infrastructure (AWS or Azure) Experience supporting SaaS or enterprise-grade applications This is a rare chance to join a high-performing technical team working on mission-critical systems More ❯

availability Excellent problem-solving and communication skills Interest in, exposure of, or experience with Microsoft SQL Server (2016+) Familiarity with cloud infrastructure (AWS or Azure) Experience supporting SaaS or enterprise-grade applications This is a rare chance to join a high-performing technical team working on mission-critical systems More ❯

Management (e.g. Service Now) ITIL working practices, ideally ITIL v4 foundation certified PowerShell or other scripting used to automate processes Software management and support Azure and on prem AD tooling Microsoft 365 administration and support as an escalation point 2 - Commitment to staying updated with the latest industry trends More ❯