1,051 to 1,075 of 3,824 Azure Jobs in London

enterprise-wide digital transformation in a complex organisation Experience developing and executing digital, data and technology strategies Strong understanding of cloud technologies (Microsoft 365, Azure) and enterprise architecture Expertise in cyber security, risk management and information governance Strategic thinker with the ability to translate vision into delivery Strong leadership ...

with a grounding in software engineering best practices (CI/CD, testing, code reviews etc). Experience developing solutions at scale on cloud platforms (Azure & AWS), containerisation and orchestration tools such as Kubernetes and Docker. Expertise in data engineering for AI: handling large-scale, unstructured, and multimodal data. Understanding ...

offs across performance, scalability, reliability, security, maintainability, and cost Expert knowledge of cloud platforms such as Amazon Web Services, Google Cloud Platform, or Microsoft Azure, with strong experience using Docker, Kubernetes, Elastic Container Service, or equivalent technologies in production environments Strong experience designing and implementing application programming interfaces, distributed ...

Experience supporting enterprise AI governance, responsible AI frameworks, model risk management, or large-scale AI operating model implementation. Exposure to Microsoft Copilot, Power Platform, Azure AI services, enterprise AI ecosystems, workflow automation platforms, or Capital Markets technology platforms. Why Join Capco Lead high-impact AI transformation programmes for leading ...

understanding of token management, latency, and cost tradeoffs Basic understanding of web technologies including JavaScript, HTML, and CSS Familiarity with cloud fundamentals (AWS, Azure, or GCP), containers (Docker), and CI/CD pipelines Understanding of Agile delivery fundamentals Experience with databases SQL or NoSQL Ability tovalidate, evaluate, and improve ...

data architecture, including data modelling, ETL/ELT pipelines, storage, access patterns, data warehouses, lakes/lakehouses and governance. Experience with cloud platforms; Microsoft Azure experience is particularly relevant. Good working knowledge of SQL and modern data engineering approaches, including Python. Experience designing reusable technical components, shared services ...

offs across performance, scalability, reliability, security, maintainability, and cost Expert knowledge of cloud platforms such as Amazon Web Services, Google Cloud Platform, or Microsoft Azure, with strong experience using Docker, Kubernetes, Elastic Container Service, or equivalent technologies in production environments Strong experience designing and implementing application programming interfaces, distributed ...

offs across performance, scalability, reliability, security, maintainability, and cost Expert knowledge of cloud platforms such as Amazon Web Services, Google Cloud Platform, or Microsoft Azure, with strong experience using Docker, Kubernetes, Elastic Container Service, or equivalent technologies in production environments Strong experience designing and implementing application programming interfaces, distributed ...

delivery. Desirable Experience supporting AI, Generative AI or Microsoft Copilot initiatives. Experience with HR Technology platforms such as Workday, ServiceNow or Cornerstone. Experience using Azure DevOps, Jira, Monday.com or similar product management tools. Understanding of product management and product operations disciplines. Experience supporting change management, communications and user adoption. ...

real grasp of operational databases, object storage, lakehouses and data contracts. You have deep production experience on at least one major public cloud (AWS, Azure or GCP), using Infrastructure as Code, CI/CD, automated testing, containers or serverless. You've modernised legacy systems incrementally, made architecture decisions ...

Python, Business Intelligence platforms, or Product Analytics tools. Familiarity with databases and cloud data warehouses (e.g., Google Cloud, Amazon Redshift, Microsoft Azure, Snowflake, Databricks). A successful record of experience in sales engineering, customer success, client‐facing professional services, consulting, or technical project management. Excellent written, analytical, communication ...

value in a commercial organisation, including how to manage and monitor LLM-based applications to maximise performance. Experience working with cloud technology, ideally Microsoft Azure and/or AWS. Proven track record of development and deployment of machine learning algorithms, including supervised and unsupervised learning techniques. Excellent collaboration ...

hands-on technical role focused on platform reliability, container orchestration, CI/CD automation, and identity governance. Key Responsibilities Cloud & Containers: Build and maintain Azure infrastructure using Infrastructure as Code (Terraform) and operate production Kubernetes (AKS) environments. Identity & Access: Manage Entra ID, RBAC, PIM, and access governance across cloud … resources. Automation & Pipelines: Create scripts (PowerShell, Bash, or Python) to automate routine operational tasks and optimize Azure DevOps CI/CD pipelines. Observability & Security: Implement production monitoring, logging, and alerting systems while maintaining platform security and compliance alignment (SOC2/ISO 27001). Key Requirements Proven experience managing Azure ...

using HTML, JavaScript, and Razor Experience building and supporting integrations with third-party systems using REST APIs or similar technologies Practical experience working with Azure Cloud Services and Azure DevOps, or equivalent CI/CD tooling Proficiency with Visual Studio or VS Code Strong understanding of software development …/CD pipelines within a collaborative engineering culture. Highest-signal resume keywords C# .NET/.NET Core SQL/T-SQL REST APIs Azure Cloud Services ATS Optimization Keywords Hard Skills C# .NET/.NET Core SQL/T-SQL HTML JavaScript Razor Database Design Performance Optimisation Query Tuning ...

experienced Senior Data Engineer to join them on a contract basis , taking end‐to‐end ownership of business‐critical data products on their Azure Databricks‐based data platform . This is a hands‐on role embedded directly within a product team, working closely with product managers and lead engineers … modern DevOps practices are central to how they design and scale data products. What You’ll Need Strong hands‐on experience with Azure Databricks & Spark in production 5+ years in data engineering or software engineering with a strong data focus Experience building production‐grade pipelines on Azure Strong ...

team performance. Collaborate with developers, analysts, and other team members to integrate automation assets into CI/CD pipelines using tools such as Jenkins, Azure DevOps, GitLab CI, or similar. Manage versions of test automation assets in code repositories like GIT. Ensure proper defect management processes and adherence … test life cycles for automated testing. Knowledge of test management and defect tracking tools such as Jira, Azure DevOps, ALM/Quality Center, qTest, or similar, ensuring testing remains on track against the project plan. Lead the Automation Testing and produce necessary documentation and reports for various testing phases ...

existing enterprise systems and workflows. Partner with Product, Architecture, Security, Compliance and Business stakeholders to ensure successful delivery and adoption of AI solutions. Support Azure architecture decisions and work closely with CloudOps and InfoSec teams to ensure secure and scalable platform delivery. Manage delivery planning, risks, dependencies and stakeholder … observability tooling. Experience with enterprise integration technologies including APIs, Middleware, ESB or iPaaS platforms. Hands‐on experience integrating internal and third-party systems. Azure cloud experience, including: Azure OpenAI Azure AI Foundry Azure App Services Azure Functions Azure Kubernetes Service (AKS) Azure ...

lifecycle, enabling development and cloud engineering teams to build, deploy, and operate secure, scalable, and resilient systems. You will work across our infrastructure landscape—Azure Kubernetes Services (AKS), Azure Virtual Machines, networking components, and application workloads—to ensure systems are protected from vulnerabilities, misconfigurations, and emerging threats. … emerging threats. Secure Implementation & Automation Enhance and maintain secure IaC using Terraform, ensuring compliance with internal policies and standards. Embed automated security checks into Azure DevOps CI/CD pipelines, including static analysis, dependency scanning, and IaC scanning. Ensure Kubernetes workloads follow best practices: RBAC, network policies, secrets management ...

using PySpark on Databricks. Work with Delta Lake, Unity Catalog, and Databricks REST APIs. Optimize queries and pipelines for cost efficiency in cloud environments (Azure/AWS). SQL Database Management Write and optimize complex SQL queries. Manage relational databases and integrate with Databricks. Perform data cleansing, transformation … dashboards. Collaboration & DevOps Work with cross-functional teams (data scientists, product managers, UX designers). Participate in CI/CD pipelines (GitHub Actions, Azure DevOps). Document workflows and ensure compliance with coding standards. ...

intersection of software engineering, applied AI, and technical leadership, turning the latest LLM capabilities into reliable, production-grade systems built on our Azure and Databricks platform. As a senior member of the team, you will not only build high-quality AI solutions, but also help shape technical direction, guide … production. Develop robust, well-tested backend APIs with FastAPI, containerized via Docker and deployed on Kubernetes. Architect and own search and retrieval solutions using Azure AI Search and MongoDB, including design of indexing strategies, hybrid search configurations, and retrieval evaluation. Work within our Azure cloud environment, integrating with ...

Senior Data Engineer (Databricks) - London (Hybrid) - Up to £85,000 Databricks - Apache Spark - Delta Lake - Python - SQL - Azure We're partnering with a fast-growing technology business that's investing heavily in its data platform and engineering capability. This is an opportunity to join a highly collaborative team where … Contributing to tooling decisions, documentation, and continuous improvement initiatives. What's On Offer? Salary up to £85,000. Hybrid working model. Modern Databricks and Azure technology stack. Exposure to large-scale, enterprise-level data platforms. Opportunity to influence architecture and engineering standards. Collaborative and supportive engineering culture. Ongoing learning ...

Role Overview We are seeking a highly consultative Senior Data Analyst/Business Data Analyst who combines strong business acumen with deep analytical and Azure data platform expertise. The ideal candidate will work directly with business stakeholders, report owners, and customers to understand business challenges, challenge requirements constructively … models, metrics, and reporting standards. Interpret complex datasets and present clear findings and recommendations to technical and non-technical audiences. Support analytics initiatives on Azure Data Platform technologies, ensuring alignment with business objectives. Drive continuous improvement in reporting, analytics processes, and data governance practices. Required Skills & Experience Technical Skills ...

Kubernetes and Terraform. Use Kubernetes automation tools like Helm and Kiali. Implement logging, monitoring, and performance frameworks. Work with cloud platforms such as Azure or AWS.Define direction for large-scale enterprise applications and digital transformation initiatives. Produce technical documentation, architecture designs, and white papers. Required Skills & QualificationsStrong experience … .NET Full Stack development. Expertise in React JS, .NET, and Microservices architecture. Experience with Azure or AWS cloud platforms. Hands-on experience with Kubernetes, Terraform, Helm, and container orchestration. Experience with CI/CD tools such as Jenkins. Experience with application monitoring, logging, and performance optimization frameworks. Ability ...

essential, experience in any of the following would be highly beneficial: Auth0 or similar identity providers Sentry or comparable monitoring and error-tracking platforms Azure Static Web Apps Azure DevOps CI/CD pipelines Vite performance optimisation and bundle analysis Storybook or other component documentation platforms WebSockets … industry-specific experience but are an exceptional engineer, we'd still love to hear from you. Technology Environment React 18 TypeScript (Strict Mode) Vite Azure Static Web Apps Azure DevOps Grafana Application Insights AI-assisted development tools Storybook MacBook Pro workstation Why Join? End-to-end ownership ...

back-office transformation. Its Divisional Data Team develops and manages an enterprise-wide data solution, reporting services, and data governance practices. Задачи: Own the Azure DevOps organisation and project configuration for the Divisional Data Team, including projects, teams, security groups, service connections, variable groups and secure files; Administer permissions … access models across repositories, pipelines, artefacts and libraries; Manage build agents, including self-hosted agent pools, capacity, scaling and patching; Use Azure Boards to plan, track and report DevOps work and integrate work items with commits, pull requests and releases; Manage Azure Artifacts feeds, package versioning and retention ...