126 to 150 of 3,363 Azure Jobs in the UK excluding London

a Computer Science, Engineering, or IT background — if you’re passionate about cloud technologies and want to learn how to build and manage modern infrastructure using platforms like AWS, Azure, or Google Cloud, we’d love to hear from you. What You’ll Be Doing As a Graduate Cloud Engineer, you’ll work on real … world cloud solutions that support our business and customers. You’ll gain experience in: Cloud Infrastructure Setup : Assist in building and maintaining cloud infrastructure on platforms like AWS, Microsoft Azure, or Google Cloud Platform (GCP) Automation & Scripting : Use Infrastructure-as-Code (IaC) tools like Terraform or AWS CloudFormation to automate provisioning and deployments Monitoring & Performance : Help set up monitoring … and access management, encryption, and compliance monitoring CI/CD Pipelines : Work with DevOps teams to automate build, test, and deployment workflows using tools like GitHub Actions, Jenkins, or Azure DevOps Troubleshooting & Support : Help resolve issues in cloud-hosted environments and support application teams with deployment and scalability needs Learning & Research : Stay up to date with the latest trends More ❯

a Computer Science, Engineering, or IT background — if you’re passionate about cloud technologies and want to learn how to build and manage modern infrastructure using platforms like AWS, Azure, or Google Cloud, we’d love to hear from you. What You’ll Be Doing As a Graduate Cloud Engineer, you’ll work on real … world cloud solutions that support our business and customers. You’ll gain experience in: Cloud Infrastructure Setup : Assist in building and maintaining cloud infrastructure on platforms like AWS, Microsoft Azure, or Google Cloud Platform (GCP) Automation & Scripting : Use Infrastructure-as-Code (IaC) tools like Terraform or AWS CloudFormation to automate provisioning and deployments Monitoring & Performance : Help set up monitoring … and access management, encryption, and compliance monitoring CI/CD Pipelines : Work with DevOps teams to automate build, test, and deployment workflows using tools like GitHub Actions, Jenkins, or Azure DevOps Troubleshooting & Support : Help resolve issues in cloud-hosted environments and support application teams with deployment and scalability needs Learning & Research : Stay up to date with the latest trends More ❯

domains including orchestration, automation, CI/CD pipelines, cloud services, observability, and security, developing deeper expertise in areas that align with platform priorities and your interests. Experience with Microsoft Azure is essential.You will play your part in operating the platform aligned to our approach of “you build it, you run it” with multi-disciplinary teamsDaily coding is a core … Platform Lead to help build a robust platform that supports all of Connells' digital initiatives.Experience and Skills Required: Solid understanding of Terraform syntax, modules, and state management Experience with Azure Terraform provider and common patterns Familiarity with ARM templates and Azure resource management Knowledge of core Azure services (Virtual Networks, VMs, Storage, App Services, etc.) Understanding of … Azure AD, RBAC, and Key Vault integration Proficiency with Git workflows and version control best practices Experience with PowerShell, Azure CLI, or Bash for automation tasks Understanding of CI/CD pipeline concepts and tools (Azure DevOps, GitHub Actions, etc. Containerisation experience with Docker and basic Kubernetes concepts Understanding of cloud networking concepts (VNets, subnets, NSGs) Awareness More ❯

to develop and manage a central service portfolio, common standards, policies, tools and practices. The Role This is a key role based in our Newcastle office , that will provide Azure cloud and Infrastructure DevOps leadership as we continue to transform our services through a cloud first approach, following proven industry and Microsoft best practices to ensure infrastructure systems and … multiple regions as part of a matrix-managed, multi-sourced organisation and translate business requirements into technical infrastructure solutions leveraging strong business acumen. Key Responsibilities Define and own the Azure cloud and Infrastructure DevOps roadmap in conjunction with architecture, global and regional IT Provide Azure and Infrastructure DevOps expertise, leadership, direction and assistance to IT leadership, project delivery … regional technical leads and engineering teams Define, build and lead implementation and adoption of Azure cloud and Infrastructure DevOps including: automation; tools; operational processes; security, governance & controls for cloud management Build, maintain, manage and improve cloud operations, security and service dashboards tailored to audience Identify and drive cloud adoption by identifying opportunities, develop business cases and support transition to More ❯

Engineer, you will support the design, implementation, and management of a decentralised data architecture based on Data Mesh principles. You will work with technologies such as Snowflake, dbt, Microsoft Azure, and Microsoft Fabric to build scalable, secure, and high-performing platform capabilities. Your work will empower domain teams to autonomously own, access, and manage their data via self-service … Collaboration & Knowledge Sharing About the Candidate The ideal candidate will possess the following: Familiarity with Data Mesh principles and decentralized data architectures. Proven expertise with cloud technologies, including Snowflake, Azure, and dbt. Competency in scripting languages such as SQL, PowerShell, and Python. Proficiency with Azure DevOps for CI/CD pipeline management and Terraform for infrastructure automation. Strong More ❯

Engineer, you will support the design, implementation, and management of a decentralised data architecture based on Data Mesh principles. You will work with technologies such as Snowflake, dbt, Microsoft Azure, and Microsoft Fabric to build scalable, secure, and high-performing platform capabilities. Your work will empower domain teams to autonomously own, access, and manage their data via self-service … Collaboration & Knowledge Sharing About the Candidate The ideal candidate will possess the following: Familiarity with Data Mesh principles and decentralized data architectures. Proven expertise with cloud technologies, including Snowflake, Azure, and dbt. Competency in scripting languages such as SQL, PowerShell, and Python. Proficiency with Azure DevOps for CI/CD pipeline management and Terraform for infrastructure automation. Strong More ❯

the Senior Data Engineer: Design, build, and maintain scalable data pipelines and architectures, ensuring reliability, performance, and best-in-class engineering standards Leverage Databricks, Spark, and modern cloud platforms (Azure/AWS) to deliver clean, high-quality data for analytics and operational insights Lead by example on engineering excellence, mentoring junior engineers and driving adoption of DevOps and CI … concepts clearly and persuasively Desirable Skills for the Senior Data Engineer: Experience with event sourcing, dbt, or related data transformation tools Familiarity with PostgreSQL and cloud-native data services (Azure Event Hub, Redshift, Kinesis, S3, Blob Storage, OneLake, or Microsoft Fabric) Understanding of machine learning model enablement and operationalisation within data architectures Experience working within Agile delivery environments If … you are an experienced Senior Data Engineer with strong expertise in Databricks , Azure , and data architecture design , looking for a hands-on role where you can influence technical direction and drive meaningful change, please apply in the immediate instance. Data Engineer, Senior Data Engineer More ❯

for continuous quality improvement and be a team player. Working knowledge of Windows and Office. Desirable but not essential: Experience of software development in the Microsoft Visual Studio IDE, Azure DevOps and GitHub. Experience cloud technologies. Awareness of technology and software trends that may have an impact of the production, testing and delivery of software packages. More ❯

for continuous quality improvement and be a team player. Working knowledge of Windows and Office. Desirable but not essential: Experience of software development in the Microsoft Visual Studio IDE, Azure DevOps and GitHub. Experience cloud technologies. Awareness of technology and software trends that may have an impact of the production, testing and delivery of software packages. More ❯

data science languages/tools such as SQL, R, SAS, or Excel Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP) and modern data warehouse tools (Snowflake, Databricks) Proficiency in the design and implementation of modern data architectures (ideally Azure, AWS. Microsoft Fabric, GCP, Data Factory) and modern More ❯

Strategic Influence: Provide input into our Intune and EUC roadmaps, and engage with customers on infrastructure best practices. Who you are: Microsoft 365 Certified: Endpoint Admin Associate (MD-102), Azure Administrator Associate (AZ-104), Administrator Expert (MS-102) Strong experience with Intune, Defender, Endpoint Analytics, and automation PowerShell scripting and Windows image management A diplomatic and professional attitude when More ❯

GXO: Google Professional Cloud Architect certification and hands-on GCP experience Strong networking knowledge and familiarity with DevOps best practices Comprehensive experience in cloud architecture, ideally across hyperscalers (AWS, Azure, GCP) Proficiency in Linux, Windows, and infrastructure monitoring tools A pragmatic, flexible mindset with excellent communication and time management skills We engineer faster, smarter, leaner supply chains. More ❯

participate in code reviews to learn best practices and improve your technical skills. Support the implementation of CI/CD pipelines and test automation, gaining experience with tools like Azure DevOps and JIRA. Work closely with developers, designers, and product managers to understand requirements and contribute to effective technical solutions. Learn how to design and adapt applications for Azure More ❯

Desirable Skills/Experience: Although not essential, the following skills are desired by the client: Preferred Qualifications Relevant certifications (e.g., CyberArk Defender, CISSP, CISM) Experience in cloud environments (AWS, Azure, GCP) and hybrid infrastructures Knowledge of DevSecOps practices and CI/CD pipeline integration If you are interested in this opportunity, please apply now with your updated CV in More ❯

spatial data analysis Exceptional problem-solving abilities and adaptability Leadership experience with strong communication skills Structured approach to quantitative challenges Comfort working in a dynamic startup environment Qualifications Microsoft Azure experience, particularly R integration Application containerization knowledge (Docker, etc.) Familiarity with Python, JavaScript, C++, bash, or other languages Web application development experience (React, .NET) Background in data security and More ❯

spatial data analysis Exceptional problem-solving abilities and adaptability Leadership experience with strong communication skills Structured approach to quantitative challenges Comfort working in a dynamic startup environment Qualifications Microsoft Azure experience, particularly R integration Application containerization knowledge (Docker, etc.) Familiarity with Python, JavaScript, C++, bash, or other languages Web application development experience (React, .NET) Background in data security and More ❯

business-critical decisions. What You’ll Do Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions. Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data. Guide and mentor junior data scientists and analysts, fostering a culture of growth and technical excellence. … methods and their practical application. Experience managing multiple end-to-end data science projects across varied data types. Familiarity with DevOps practices and tools like Git. Cloud experience (e.g. Azure, AWS) and working with ML platforms and services. Strong communication skills, capable of explaining complex topics to non-technical stakeholders. Ability to align data science efforts with broader business … objectives. Desirable Skills: Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations or regulated industries. Strong More ❯

business-critical decisions. What You’ll Do Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions. Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data. Guide and mentor junior data scientists and analysts, fostering a culture of growth and technical excellence. … methods and their practical application. Experience managing multiple end-to-end data science projects across varied data types. Familiarity with DevOps practices and tools like Git. Cloud experience (e.g. Azure, AWS) and working with ML platforms and services. Strong communication skills, capable of explaining complex topics to non-technical stakeholders. Ability to align data science efforts with broader business … objectives. Desirable Skills: Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations or regulated industries. Strong More ❯

business-critical decisions. What You’ll Do Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions. Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data. Guide and mentor junior data scientists and analysts, fostering a culture of growth and technical excellence. … methods and their practical application. Experience managing multiple end-to-end data science projects across varied data types. Familiarity with DevOps practices and tools like Git. Cloud experience (e.g. Azure, AWS) and working with ML platforms and services. Strong communication skills, capable of explaining complex topics to non-technical stakeholders. Ability to align data science efforts with broader business … objectives. Desirable Skills: Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations or regulated industries. Strong More ❯

/CTO/CDO level and translating requirements into solution blueprints, proposals, and presentations. Enterprise Solution Design – Architect end-to-end data and cloud solutions across platforms such as Azure, AWS, GCP, Databricks, Snowflake, Synapse, or Azure Fabric. Cloud Strategy & Adoption – Define and lead cloud migration, modernisation, and optimisation strategies using tools such as Terraform, Azure DevOps … a strong track record in banking transformation. Pre-Sales Expertise: Experience responding to RFPs/RFIs, delivering C-level presentations, and shaping winning solutions. Cloud Knowledge: Proven expertise in Azure, AWS, or GCP, with hands-on experience in cloud-native architecture and modernisation. Banking Domain: Essential knowledge of retail, commercial, or investment banking, including regulatory and finance transformation. Transformation … Modelling: 3–5 years using ERwin, ER/Studio, Power Designer, or similar. BI/Reporting Tools: Familiarity with Power BI, Tableau, or Qlik. Certifications: Preferred – Cloud certifications in Azure, AWS, or GCP. What's on Offer Competitive salary with generous bonus Private healthcare and critical illness cover Life assurance (4x annual salary) Income protection insurance Pension scheme Flexible More ❯

Moneycorp is modernising its payments platform, and this role is a key part of that journey. The Payment Evolution Project is focused on containerising and modernising existing applications for Azure deployment. This is a technical migration, not a major functionality rewrite-our goal is to transition to a more scalable, cloud-native architecture while maintaining stability. As a Senior … Software Engineer, you'll be working with .NET, Azure, and Kafka, ensuring that applications are optimised for cloud deployment and aligned with modern development practices. You'll assess the right .NET versioning strategy, manage dependency transitions (e.g., moving from MSMQ to Kafka), and ensure smooth migration of libraries and frameworks. Along with modernisation, you'll also be working on … features rollout in the existing system or new projects. What You'll Be Doing: Coaching and mentoring a team of 2-4 engineers. Modernising and containerising existing applications for Azure deployment. Build new cloud native event driven applications. Ensuring applications are cloud-ready without unnecessary functionality rewrites. Evaluating and implementing the right .NET framework version for each application. Person More ❯

related field (or equivalent experience). 7+ years in infrastructure engineering with at least 3 years in an architecture or design role. Strong experience with cloud platforms (e.g., AWS, Azure, GCP). In-depth knowledge of networking, virtualization, storage, and security concepts. Familiarity with infrastructure-as-code (e.g., Terraform, CloudFormation). Hands-on experience with monitoring tools, CI/… pipelines, and DevOps practices. Excellent communication and stakeholder engagement skills. Ability to create and present detailed architectural documentation and reports. Desirable: Relevant certifications (e.g., AWS Certified Solutions Architect, TOGAF, Azure Architect). Experience in regulated environments (e.g., finance, healthcare). Knowledge of containerization (e.g., Docker, Kubernetes). Familiarity with enterprise architecture frameworks. What they Offer Competitive salary and bonus More ❯

and Databricks. Develop and deploy machine learning models (including NLP, deep learning, and agentic AI) in production environments. Integrate data from diverse sources, including streaming and batch ingestion, using Azure Data Factory, GCP Dataflow and AWS services. Apply data modelling concepts (e.g., medallion architecture) and ensure data quality and governance. Collaborate with DevOps teams to automate CI/CD … and MLOps processes using Azure DevOps, Kubernetes, and Terraform. Visualize and communicate insights using Power BI, Tableau, and PowerApps. Mentor junior engineers and contribute to internal knowledge sharing. Ensure solutions meet security, compliance, and performance standards. More ❯

reliability. Ensure data quality, integrity, and security throughout the data lifecycle. Collaborate with data scientists, analysts, and engineers to deliver effective data solutions. Implement and maintain infrastructure on AWS, Azure, or GCP. Monitor and troubleshoot data workflows to ensure availability and minimal downtime. Automate data ingestion, transformation, and validation processes. Stay up to date with emerging technologies and recommend … you'll need: Strong proficiency in SQL and experience with relational databases. Hands-on experience building data pipelines and ETL processes. Proficiency in Python. Experience with cloud platforms (AWS, Azure, or GCP). Knowledge of data modelling, warehousing, and optimisation. Familiarity with big data frameworks (e.g. Apache Spark, Hadoop). Understanding of data governance, security, and compliance best practices. More ❯

prototyping to production release. Build and optimize RAG pipelines, LLM integrations, and orchestration workflows Deploy and monitor AI workloads in containerized cloud environments (Docker, Kubernetes, AWS/GCP/Azure) Participate in code reviews, architecture discussions, and mentor junior engineers Collaborate cross-functionally with data science, product, and operations teams Champion responsible AI practices and safety mechanisms in all … Linux, Docker, and containerized deployments Familiarity with data engineering concepts (SQL, ETL, data lakes) Experience with orchestration frameworks like LangChain, LangGraph, or Semantic Kernel Cloud deployment experience (AWS, GCP, Azure) Work on high-impact AI projects that shape the future of telecoms Be part of a forward-thinking, collaborative team that values innovation and continuous learning Enjoy flexible remote More ❯