51 to 75 of 2,120 Azure Jobs in London

BI Service, DAX, and M Query) Experience designing data models and ETL processes within Power BI Proficiency in SQL for querying and transforming data from various sources Understanding of Azure services (e.g., Azure Synapse, Azure Data Factory, Azure SQL) Knowledge of Power Automate and Power Apps integration with Power BI Experience with non-Microsoft data sources More ❯

Azure DevOps Engineer Central London - 2 times a week in the office £70,000 - £90,000 + Bonus + Benefits ReVybe IT is recruiting for a forward-thinking software business. Currently looking for a Azure DevOps Engineer to join the team. Key Responsibilities: Take ownership of the cloud environment, ensuring optimal performance and security. Collaborate closely with the … application team to integrate cloud solutions seamlessly. Utilize technologies such as Azure, Kubernetes (AKS), Terraform, Azure DevOps. Develop, deploy, and manage containerized applications using AKS. Ensure high availability and scalability of microservices. Implement best practices for container orchestration and monitoring. Implement automated secrets management workflows. Design and maintain CI/CD pipelines using Azure DevOps. Automate testing … module documentation. Collaborate effectively within Agile teams. Adapt quickly to changes and iterative development processes. Participate actively in Agile ceremonies and practices. Strong scripting and automation skills (PowerShell, Bash, Azure CLI). Develop and maintain scripts for automation and deployment. Use PowerShell, Bash, and Azure CLI to streamline processes and improve efficiency. Implement automation workflows to reduce manual More ❯

coding interests in (any language - we value the problem-solving mindset) DevOps practices and tools (CI/CD, containerization, infrastructure as code) Cloud platforms experience beyond basic administration (AWS, Azure, GCP) Experience integrating AI or automation into operational workflows (e.g., monitoring, alerting, or data pipelines) Some knowledge of Atlassian Jira & Confluence Interest in emerging technologies (AI/ML, blockchain 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 ❯

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 ❯

ownership for analytics and AI programmes delivering with global teams and realizing commercial value. Technical Mastery (a combination of the below, not all) Expertise in cloud data platforms (AWS, Azure, GCP) and enterprise data solutions (e.g., Microsoft Fabric, Databricks, Snowflake). Proficiency in programming languages like Python, R, or SQL and experience with Power Platform applications. Strong knowledge of More ❯

ownership for analytics and AI programmes delivering with global teams and realizing commercial value. Technical Mastery (a combination of the below, not all) Expertise in cloud data platforms (AWS, Azure, GCP) and enterprise data solutions (e.g., Microsoft Fabric, Databricks, Snowflake). Proficiency in programming languages like Python, R, or SQL and experience with Power Platform applications. Strong knowledge of More ❯

and optimise systems for scalability, resilience and efficiency. Candidate Profile Strong background in cloud engineering , ideally in secure or regulated environments. Experience with public and private cloud platforms (AWS, Azure, GCP, OpenStack). Hands-on knowledge of containerisation, Kubernetes, microservices and IaC (Terraform, Ansible, etc.). Familiarity with CI/CD pipelines and modern DevOps toolchains. Excellent problem-solving More ❯

patterns such as microservices, RESTful APIs, event-driven systems, and clean architecture Experience leading teams in agile delivery environments, ensuring a balance between speed and quality Familiarity with AWS, Azure, and OpenShift, and strong Infrastructure-as-Code skills Excellent stakeholder management, facilitation, and communication skills in secure delivery contexts Clearance Requirement This role requires current and active eDV clearance More ❯

patterns such as microservices, RESTful APIs, event-driven systems, and clean architecture Experience leading teams in agile delivery environments, ensuring a balance between speed and quality Familiarity with AWS, Azure, and OpenShift, and strong Infrastructure-as-Code skills Excellent stakeholder management, facilitation, and communication skills in secure delivery contexts Clearance Requirement This role requires current and active eDV clearance More ❯

patterns such as microservices, RESTful APIs, event-driven systems, and clean architecture Experience leading teams in agile delivery environments, ensuring a balance between speed and quality Familiarity with AWS, Azure, and OpenShift, and strong Infrastructure-as-Code skills Excellent stakeholder management, facilitation, and communication skills in secure delivery contexts Clearance Requirement This role requires current and active eDV clearance More ❯

patterns such as microservices, RESTful APIs, event-driven systems, and clean architecture Experience leading teams in agile delivery environments, ensuring a balance between speed and quality Familiarity with AWS, Azure, and OpenShift, and strong Infrastructure-as-Code skills Excellent stakeholder management, facilitation, and communication skills in secure delivery contexts Clearance Requirement This role requires current and active eDV clearance More ❯

practices and Agile methodologies. Excellent problem-solving, communication, and team collaboration skills. Nice to Have: Experience with PostgreSQL or other relational databases. Exposure to cloud platforms such as AWS, Azure, or GCP. Background in government or highly regulated sectors is a plus. More ❯

leading development teams. Technical Skills: Proficiency in programming languages such as Python, Java, or C++. Strong understanding of AI and machine learning concepts. Experience with cloud platforms like AWS, Azure, or Google Cloud. Familiarity with microservices architecture and RESTful APIs. Knowledge of database systems (SQL and NoSQL). Experience with DevOps practices and CI/CD pipelines. Soft Skills More ❯

experience leading small technical teams , including mentoring and delivery oversight. Strong communication and stakeholder management skills across technical and non-technical audiences. Desirable Experience with multi-cloud environments (AWS, Azure, hybrid). Familiarity with site reliability engineering (SRE) principles and production systems support. Experience driving innovation, technical transformation, and improvements in ways of working. What's on Offer Competitive More ❯

experience leading small technical teams , including mentoring and delivery oversight. Strong communication and stakeholder management skills across technical and non-technical audiences. Desirable Experience with multi-cloud environments (AWS, Azure, hybrid). Familiarity with site reliability engineering (SRE) principles and production systems support. Experience driving innovation, technical transformation, and improvements in ways of working. What's on Offer Competitive More ❯

experience leading small technical teams , including mentoring and delivery oversight. Strong communication and stakeholder management skills across technical and non-technical audiences. Desirable Experience with multi-cloud environments (AWS, Azure, hybrid). Familiarity with site reliability engineering (SRE) principles and production systems support. Experience driving innovation, technical transformation, and improvements in ways of working. What's on Offer Competitive More ❯

Flask, or FastAPI) PostgreSQL Experience with building and scaling SaaS platforms in production. Strong background in software architecture, microservices, and API design. Hands-on experience with cloud platforms (AWS, Azure, or GCP). Excellent communication skills, capable of motivating and aligning technical teams. Desirable: Experience with AI tools, APIs, ML pipelines, containerisation (Docker/Kubernetes), event-driven architecture (Kafka More ❯

Flask, or FastAPI) PostgreSQL Experience with building and scaling SaaS platforms in production. Strong background in software architecture, microservices, and API design. Hands-on experience with cloud platforms (AWS, Azure, or GCP). Excellent communication skills, capable of motivating and aligning technical teams. Desirable: Experience with AI tools, APIs, ML pipelines, containerisation (Docker/Kubernetes), event-driven architecture (Kafka More ❯

MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data lakes, and cloud data platforms. Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration. Knowledge of containerization and orchestration tools (Docker, Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem More ❯

MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data lakes, and cloud data platforms. Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration. Knowledge of containerization and orchestration tools (Docker, Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem More ❯

MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data lakes, and cloud data platforms. Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration. Knowledge of containerization and orchestration tools (Docker, Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem More ❯

MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data lakes, and cloud data platforms. Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration. Knowledge of containerization and orchestration tools (Docker, Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem More ❯