1 to 25 of 3,710 Microsoft-Azure Jobs in England

experience Power Virtual Agents experience or embedding copilot tools for users within solutions. Experience of Power Platform Centre of Excellence (CoE) and governing/monitoring environments Experience with Azure DevOps and CI/CD. Experience developing and deploying Microsoft Teams Apps Experience with Azure DevOps (or similar tools) for CI/CD and backlog/… progress tracking Broader Microsoft 365 tools (Teams, SharePoint, Power BI). Experience integrating Power Apps solutions with APIs or third-party solutions Knowledge of Azure PaaS, APIs, and integration services. Development experience (.NET, C#, TypeScript). Additional Information Why Version 1? At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises More ❯

to developing Data & AI solutions, right through to providing a range of managed services. We are a Microsoft Solutions Partner, holding Specialisations in AI Platform on Microsoft Azure, Analytics on Microsoft Azure, Data Warehouse Migration to Microsoft Azure and Migrate Enterprise Applications to Microsoft Azure, as well … as holding Solutions Partner designations in Data & AI (Azure); Digital & App Innovation (Azure); Infrastructure (Azure) and Security. But it's not just about the badges. We are proud to be recognised as the winner of the 2024 Microsoft Community Response Partner of the Year award, reflecting our dedication to using technology for positive … collaboration in the workplace. The Role As an Azure Cloud Infrastructure Engineer, you will be responsible for designing, deploying, and managing cloud solutions on the Microsoft Azure platform. Your role will involve architecting cloud infrastructure, implementing security best practices, and optimising cloud resources for performance and cost-efficiency. You will work closely with cross-functional More ❯

advantageous. Experience with Power Apps Test Studio or other Power Platform testing solutions Experience in configuring and using other data stores (SQL/SharePoint/Lists) Experience with Azure DevOps (or similar tools) for CI/CD and backlog/progress tracking. Experience with the wider Microsoft 365 platform including SharePoint, Forms, Teams Experience in configuring and More ❯

Power Platform testing solutions. Experience in configuring and using other data stores (SQL/SharePoint/Lists). Experience developing and deploying Microsoft Teams Apps. Experience with Azure DevOps (or similar tools) for CI/CD and backlog/progress tracking. Experience with the wider Microsoft 365 platform including SharePoint, Forms, Teams. Experience in configuring and … C#/TypeScript/SQL Server). Experience with Azure DevOps (or similar tools) for CI/CD and backlog/progress tracking. Experience with Microsoft Azure PaaS/Azure Integration Services. Power Platform Certifications would be a plus (PL-900, PL-100, PL-200, PL-400, PL-500). Eligibility for SC More ❯

broader programme and client objectives. About You Professional knowledge and experience Essential Proven experience in data engineering, data integration and data modelling Expertise with cloud platforms (e.g. AWS, Azure, GCP) Expertise with modern cloud data platforms (e.g. Microsoft Fabric, Databricks) Expertise with multiple data analytics tools (e.g. Power BI) Deep understanding of data wareho using concepts, ETL … modelling Proficiency in advanced programming languages (Python/PySpark, SQL) Experience in data pipeline orchestration (e.g. Airflow, Data Factory) Familiarity with DevOps and CI/CD practices (Git, Azure DevOps etc) Ability to communicate technical concepts to both technical and non-technical audiences Proven experience in delivery of complex projects in a fast paced environment with tight deadlines … a consultancy environment, demonstrating flexibility and adaptability to client needs. Experience defining and enforcing data engineering standards, patterns, and reusable frameworks Professional certifications in relevant technologies (e.g. Microsoft Azure Data Engineer, AWS Data Analytics, Databricks Certified Professional Data Engineer) Skills Data Development Process Design, build and test data products that are complex or large scale Build and More ❯

experience with Octopus Deploy. Awareness of code quality and analysis tools (e.g., SonarQube). Background with job scheduling platforms such as Control-M. Experience with major cloud providers (Azure, AWS, GCP). Familiarity with VMware (vSphere) and storage area networks. Previous experience in financial services would be advantageous, though not a requirement. This is an exceptional opportunity to More ❯

Maven, Ant, Ivy, and UrbanCode would be advantageous. Experience in DevSecOps, including secret management, tools integration to harden the baseline, and privilege management. Associate-level cloud certification in Azure or AWS. Hands-on experience in Azure and AWS cloud technologies, including compute, networking, storage, and security services. Expertise in designing and implementing continuous delivery and/… the DevOps implementation. Resolve and escalate issues as necessary. Undertake necessary trainings and certifications on latest technologies We are looking for experience in the following skills: Familiarity with Azure and/or AWS CLI and SDK tools. Knowledge of Linux and Windows server operating systems. Expertise in scripting languages such as Python, PowerShell & Shell. Strong incident fault finding … skills and experience. Familiarity with ITSM, Agile methodologies and tools eg Azure DevOps, ServiceNow Good communication and problem-solving skills. #LI-EU What’s in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes up to 30 days’ vacation per year, private medical insurance and More ❯

and the ability to respond to sudden unexpected demands Desirable criteria: Experience with CI/CD pipelines, cloud platforms (e.g., Amazon Web Services, Google Cloud Platform (AWS, GCP), Azure) and container orchestration (e.g., Kubernetes) Experience with post-incident reviews Previous involvement in driving adoption of SRE practices across an organization Experience delivering training or mentoring junior engineers Selection More ❯

and maintain authentication solutions (SSO, SAML, Entra Connect). Develop and manage automation solutions to streamline infrastructure deployment, management, and monitoring. Implement and optimize automation tools such as Azure DevOps (or other CI/CD pipelines), Terraform, Node-Red, and Packer. Deploy and manage monitoring tools (Zabbix, SolarWinds SentryOne, and other network/database monitoring solutions). Ensure … secure cloud infrastructure management across Azure and AWS environments. Experience & Skills: It will be useful to have some of the following skills and experience: Strong expertise in defining, delivering, and supporting robust, resilient, and secure enterprise infrastructure. Experience with IT audits and compliance frameworks such as CIS, PCI DSS, Cyber Essentials, NIST, ISO 27001. An understanding of network … and compliance (PCI DSS, GDPR, DORA) would be useful but is not essential. Desirable (but not required) experience: Some interest in learning and using automation tools such as Azure DevOps, Terraform, Node-Red, Packer. Proven ability to secure high-value data (PCI cardholder data, PII) and implement security best practices. Scripting and automation skills (PowerShell, Python, Bash, or More ❯

scientists and engineers, sharing ideas and driving innovation across the globe. Cutting-Edge Technology: Get hands-on with the full Esri product suite (ArcGIS Pro, Enterprise, AGOL), Microsoft Azure, MS SQL Server, PostgreSQL and the latest open-source platforms - plus AI/ML frameworks that power truly intelligent mapping and analytics. Diverse, High-Impact Projects: From single … and integration with Enterprise/PostgreSQL backends. Experience with Enterprise Geodatabases, databases and SQL for handling large datasets. Experience with deployment, CI/CD, and version control (e.g., Azure DevOps, Git). AI literacy, with the ability to communicate concepts clearly and support … skill development across the Asset Management team. Suitability for security clearance. Desirable Skills, but not essential: Proficiency in Arcade scripting across ESRI runtime environments. Familiarity with the Microsoft Azure cloud platform, including data and AI services, and MLOps Knowledge of geospatial data warehousing and analytics. Familiarity with leading AI/ML platforms and libraries Experience building and More ❯

scientists and engineers, sharing ideas and driving innovation across the globe. Cutting-Edge Technology: Get hands-on with the full Esri product suite (ArcGIS Pro, Enterprise, AGOL), Microsoft Azure, MS SQL Server, PostgreSQL and the latest open-source platforms - plus AI/ML frameworks that power truly intelligent mapping and analytics. Diverse, High-Impact Projects: From single … and integration with Enterprise/PostgreSQL backends. Experience with Enterprise Geodatabases, databases and SQL for handling large datasets. Experience with deployment, CI/CD, and version control (e.g., Azure DevOps, Git). AI literacy, with the ability to communicate concepts clearly and support … skill development across the Asset Management team. Suitability for security clearance. Desirable Skills, but not essential: Proficiency in Arcade scripting across ESRI runtime environments. Familiarity with the Microsoft Azure cloud platform, including data and AI services, and MLOps Knowledge of geospatial data warehousing and analytics. Familiarity with leading AI/ML platforms and libraries Experience building and More ❯

management tools like CloudSmith or JFrog Artifactory Container management e.g., minikube, docker or Kubernetes CICD process with ideally with SAST and SCA code analysis DevOps tools: Git repo, Azure DevOps, Azure, GitHub, GitHub Actions, AWS CI/CD tools, TeamCity, OctopusDeploy, Terraform, Ansible PowerShell Azure and AWS fundamentals Desirable: Experience of working with third More ❯

and maintain the overarching vision for our data platform, effectively communicating it to all stakeholders and translating it into a practical strategy documented and managed in Confluence and Azure DevOps. Technical Leadership and Line Management: Act as the lead technical authority for both platform and data engineering, providing line management for 1-2 other Data Engineers. You will … homegrown' data platform, ensuring it is well-documented and easy to operate for our Ops team. You will be the primary point of contact for managing tools like Azure DevOps, our Docker image-building pipelines, and access for new team members, with minimal support from central IT. Hands-On Engineering and Implementation: Serve as a senior practitioner in …/Sub Open-Source Tools: Argo Workflows, Argo Events, dbt, Elementary, Cerberus, Terraform, Jupyter Hub, Docker, Kubernetes Coding Languages: Python, SQL, JavaScript (minimal) CI/CD & PM Tools: Azure DevOps, Confluence, Jira, GitHub What do I need to bring with me? It is essential that your leadership attributes and strategic mindset complement your deep technical skills. To be More ❯

leadership or management skills to guide teams and influence technical direction.* Excellent problem-solving ability and communication skills.Desirable Skills* Experience with PostgreSQL and relational databases.* Knowledge of AWS, Azure, or GCP.* Exposure to Agile methodologies and DevOps culture.* Familiarity with data visualization tools like Power BI or Fabric.Why Join Us You'll work on innovative projects using modern … supplier list for this position.KeywordsCloud Engineer, Full Stack Developer, Data Engineer, Java Developer, Node.js, React Developer, Kubernetes, Docker, Red Hat OpenShift, CI/CD, GitHub, ArgoCD, PostgreSQL, AWS, Azure, GCP, DevOps, Agile, Power BI, Data Pipelines, Microservices, Hybrid Working, Security Clearance, Leadership, Management. More ❯

/CD Pipeline experience to be aligned to great teams of developers in our (tech domain). We require an individual who has exposure to Cloud, Ideally Microsoft Azure, and containerisation technologies (Using Docker and Kubernetes) to ensure a smooth transition from On-Premise to a Cloud Driven infrastructure. We work closely with our Development Domains and … own workload Coordinate and liaise with development project teams (Developers, QA Analyst, Project Managers) on requirements, planning and status updates About you: Technical requirements: Infrastructure-as-Code (Terraform) Azure DevOps, Artifacts, Boards, CI/CD pipelines (YAML), Repositories Knowledge in DevOps concepts, best practices and Agile principles Azure Cloud Platform Microsoft .NET Framework, .NET Core More ❯

development of Business Data Models for different solutions; Broad understanding of software development lifecycle, development management, release management, data migrations, cut-over planning and hypercare support; Knowledge of Azure DevOps & CI/CD is a plus; Knowledge and understanding of .NET framework including extensive experience writing ASP.NET and C# code (not just limited to plugins/custom workflows More ❯

Business Data Models for different solutions; Broad understanding of software development lifecycle, development management, release management, data migrations, cut-over planning and hyper care support; Strong knowledge of Azure DevOps & CI/CD pipelines; Knowledge and understanding of .NET framework including extensive experience writing ASP.NET and C# code (not just limited to plugins/custom workflows) is a More ❯

hands-on experience with Playwright (preferred) or similar UI automation frameworks (Selenium, Cypress). Solid understanding of integration and API testing, regression strategy, and CI/CD integration (Azure DevOps, GitHub Actions). Practical coding experience writing automated tests in JavaScript/TypeScript or Microsoft-aligned languages (.NET/C#). Experience defining QA strategy, test plans More ❯

the teams workflow. Key Skills Required Technical Skills: Proficiency in SQL, database management systems (e.g., MySQL, PostgreSQL, Oracle, SQL Server), and familiarity with cloud databases (e.g., AWS RDS, Azure SQL). Data Modeling: Ability to design normalized, relational, and sometimes non-relational databases. Security Protocols: Knowledge of database encryption, access controls, and other security best practices. Performance Optimization More ❯

involves the following engineering disciplines : Cloud Engineering Data Engineering (not building pipelines but designing and building the framework) DevOps MLOps/LLMOps Often work with the following technologies : Azure, AWS, GCP Airflow, dbt, Databricks, Snowflake, etc. GitHub, Azure DevOps and related developer tooling and CI/CD platforms, Terraform or other Infra-as-Code MLflow, AzureML More ❯

datasets for modelling. Proficient in programming languages such as Python, R, and SQL for data analysis and model development. Experience working with cloud computing platforms including AWS and Azure, and familiarity with distributed computing frameworks like Hadoop and Spark. Deep understanding of supply chain operations and the ability to apply data science methods to solve real-world business … testing, differential testing, Python package building, and code version control. Skilled in data pipeline creation and working with both structured and unstructured data. Familiar with cloud platforms (AWS, Azure, GCP) and containerization technologies like Docker and Kubernetes. Excellent problem-solving skills, combined with the ability to communicate complex technical concepts clearly to non-technical stakeholders. Ability to mentor More ❯

their managed counterparts (e.g., EKS, AKS, GKE). Public Cloud Expertise: Understanding of cloud services, architecture, and best practices in one or more major public cloud providers (AWS, Azure, GCP). DevOps Practices: Strong experience with CI/CD pipelines, version control systems, and containerisation technologies (e.g., Docker). Networking: Expertise in designing and managing secure, scalable AWS … and drive consensus. Continuous Learning: Commitment to staying abreast of industry trends, participating in professional development activities, and obtaining relevant certifications. Qualifications Certification in relevant cloud technologies (AWS, Azure, GCP) at an associate level is highly desirable, e.g.: AWS Certified: Solutions Architect Associate AWS Certified: Solutions Architect Professional AWS Certified Advanced Networking – Specialty (highly desirable) Certification in Kubernetes More ❯

and REST APIs Experience with Windows-based development: services, scheduled tasks, web servers (e.g. IIS) Experience with containers such as Docker or Kubernetes and Cloud platforms: AWS (preferred), Azure, or GCP Prior experience building middleware for data sync, order processing, and internal APIs in a multi-system e-commerce environment would be highly beneficial More ❯

working with .NET Core (.NET 5+) Experience with containerisation tools like Docker and Docker Compose Exposure to orchestration platforms such as Kubernetes Experience working with cloud platforms including Azure, AWS, and Google Cloud Familiarity with Linux environments (advantageous) Strong sense of ownership from design through to implementation Understanding of socket programming (TCP/IP) Basic knowledge of encryption More ❯

AI Developer - Azure, ML, AI Foundry £Market Rate (Inside IR35) Hybrid/South West London 6 months I am currently recruiting for an AI Developer with expertise in the Microsoft ecosystem, particularly Azure AI services and AI Foundry, to help design, develop, and deploy advanced AI solutions utilising your skills in building scalable AI applications … integrating with enterprise systems, and leveraging Microsoft's AI tools to deliver business value. Key requirements: Technical Expertise in Azure AI services, Azure Machine Learning (ML), and AI Foundry. Hands-on experience with Azure Cognitive Services, Azure OpenAI, and Azure Data Factory. Solid programming skills (Python/C#,/… .NET) Experience with Azure DevOps, CI/CD pipelines, and GitHub Actions. Knowledge of containerization (tools ie Docker) and orchestration (ie Kubernetes on Azure). Good awareness of Data & AI - understanding of ML lifecycle, MLOps, and Responsible AI. Strong problem-solving and analytical skills. Excellent communication and stakeholder management skills. Nice to have: Familiarity with LLM More ❯