426 to 450 of 1,569 Azure Jobs in Central London

excellence and continuous improvement Key Requirements 5+ years’ experience working with C#/.NET Experience developing front and middle office systems Strong SQL skills Experience with cloud-native solutions (Azure or AWS) Knowledge of event-driven, microservices architectures Full SDLC experience — from design through delivery and support Key Benefits Join a fast-scaling fintech building next-generation financial technology More ❯

related sector). Strong proficiency in SQL and Tableau (or similar BI tools). Good working knowledge of Python for data manipulation and analysis. Experience working with cloud platforms (Azure or AWS). Desirable Skills: Knowledge of ETL processes and data warehousing concepts. Familiarity with financial data, risk, or regulatory reporting. Strong communication skills with the ability to explain More ❯

environments. What You Bring 4+ years of experience in software engineering, with a focus on market data systems. Strong Python skills and familiarity with cloud platforms (AWS, GCP, or Azure). Experience with tick data and building tick data pipelines. Proficiency with Parquet-based file storage; Iceberg experience is a plus. Familiarity with Kubernetes, containerization, and modern orchestration tools. More ❯

related sector). Strong proficiency in SQL and Tableau (or similar BI tools). Good working knowledge of Python for data manipulation and analysis. Experience working with cloud platforms (Azure or AWS). Desirable Skills: Knowledge of ETL processes and data warehousing concepts. Familiarity with financial data, risk, or regulatory reporting. Strong communication skills with the ability to explain More ❯

a team. Experience with C#. You also might have experience with: Developing soft real-time applications. Networked or distributed software. NET 8 or above, WPF, Skia and WCF. Git, Azure DevOps, Visual Studio. Working in an Agile development team (Scrum). Degree in Engineering, Computer Science or related discipline. Working in the lighting or production industry. Not sure if More ❯

environments. What You Bring 4+ years of experience in software engineering, with a focus on market data systems. Strong Python skills and familiarity with cloud platforms (AWS, GCP, or Azure). Experience with tick data and building tick data pipelines. Proficiency with Parquet-based file storage; Iceberg experience is a plus. Familiarity with Kubernetes, containerization, and modern orchestration tools. More ❯

the UI frameworks. Required Skills & Experience Backend Development: 8–15 years of experience with Java, Spring Boot, and microservices architecture. DevOps & Cloud: Hands-on experience with GCP, AWS, or Azure; familiarity with CI/CD pipelines. API Development: Proven expertise in building and maintaining RESTful APIs. Frontend Knowledge: Working knowledge of React or Angular. Testing: Strong background in automated More ❯

Analyst on large-scale data transformation programmes. Strong understanding of data platforms, data lakes, data governance, and analytics within enterprise environments. Experience working with cloud-based data solutions (e.g. Azure, AWS, or GCP) and associated technologies such as Data Lakes or Databricks. Excellent communication and stakeholder management skills, with experience engaging global business and technical teams. Strong analytical and More ❯

a team. Experience with C#. You also might have experience with: Developing soft real-time applications. Networked or distributed software. NET 8 or above, WPF, Skia and WCF. Git, Azure DevOps, Visual Studio. Working in an Agile development team (Scrum). Degree in Engineering, Computer Science or related discipline. Working in the lighting or production industry. Not sure if More ❯

the UI frameworks. Required Skills & Experience Backend Development: 8–15 years of experience with Java, Spring Boot, and microservices architecture. DevOps & Cloud: Hands-on experience with GCP, AWS, or Azure; familiarity with CI/CD pipelines. API Development: Proven expertise in building and maintaining RESTful APIs. Frontend Knowledge: Working knowledge of React or Angular. Testing: Strong background in automated More ❯

Strong Python and SQL skills; familiarity with frameworks like Airflow, Spark, or similar Solid understanding of data modelling, architecture, and warehousing best practices Comfort working with cloud platforms (AWS, Azure) and infrastructure tools (e.g. Terraform, SageMaker) Willingness to gain intermediate-level backend development skills (especially with Python/Django) Bonus: experience with data lakes, CI/CD, and data More ❯

helping deliver real-world impact for UK Government partners. SOFTWARE ENGINEER ESSENTIAL SKILLS: Strong commercial experience in Java (Spring Boot preferred) Experience with AWS or other public cloud environments (Azure, GCP) Exposure to front-end technologies (React, Angular or similar) Knowledge of CI/CD, GitLab, or equivalent tools Strong understanding of Agile/DevOps principles Must be eligible More ❯

helping deliver real-world impact for UK Government partners. SOFTWARE ENGINEER ESSENTIAL SKILLS: Strong commercial experience in Java (Spring Boot preferred) Experience with AWS or other public cloud environments (Azure, GCP) Exposure to front-end technologies (React, Angular or similar) Knowledge of CI/CD, GitLab, or equivalent tools Strong understanding of Agile/DevOps principles Must be eligible More ❯

Manager/Head of Engineering transitioning up to VP — with real ownership of people, platforms, and delivery. Excellent hands-on technical foundation: Python , distributed systems, cloud platforms (AWS/Azure/GCP), and modern architectural patterns. Proven track record delivering scalable SaaS or AI-enabled platforms. Strong problem-solving mindset with the ability to set engineering standards and processes. More ❯

have: Deep hands-on Kubernetes expertise , used daily in production environments. Strong Linux engineering and troubleshooting skills, applied in day-to-day operations. Proven cloud platform experience with AWS, Azure, or GCP (multi-cloud exposure ideal). Solid background in security engineering, design, and architecture for complex systems. Excellent communication and collaboration skills across technical and non-technical teams. More ❯

have: Deep hands-on Kubernetes expertise , used daily in production environments. Strong Linux engineering and troubleshooting skills, applied in day-to-day operations. Proven cloud platform experience with AWS, Azure, or GCP (multi-cloud exposure ideal). Solid background in security engineering, design, and architecture for complex systems. Excellent communication and collaboration skills across technical and non-technical teams. More ❯

have: Deep hands-on Kubernetes expertise , used daily in production environments. Strong Linux engineering and troubleshooting skills, applied in day-to-day operations. Proven cloud platform experience with AWS, Azure, or GCP (multi-cloud exposure ideal). Solid background in security engineering, design, and architecture for complex systems. Excellent communication and collaboration skills across technical and non-technical teams. More ❯

Manager/Head of Engineering transitioning up to VP — with real ownership of people, platforms, and delivery. Excellent hands-on technical foundation: Python , distributed systems, cloud platforms (AWS/Azure/GCP), and modern architectural patterns. Proven track record delivering scalable SaaS or AI-enabled platforms. Strong problem-solving mindset with the ability to set engineering standards and processes. More ❯

SFTP, SharePoint, webhooks) Hands-on experience with workflow orchestration tools (Temporal, Dagster) Comfortable working with and improving generated code Experience with CI/CD pipelines, Docker, and cloud platforms (Azure/AWS/GCP) Understanding of modern software architecture patterns Disclaimer: Research indicates that men will apply to a role when they only meet 50-60% of the descriptions More ❯

Linux, Android, IoT). Develop test plans and protocols for APIs (REST, IPC), web interfaces, and OTA updates. Integrate automated testing into CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps). Support manual testing activities when required and promote automation best practices. Produce and maintain technical documentation and standards for automation and quality engineering. Technical Competencies Strong proficiency More ❯

SFTP, SharePoint, webhooks) Hands-on experience with workflow orchestration tools (Temporal, Dagster) Comfortable working with and improving generated code Experience with CI/CD pipelines, Docker, and cloud platforms (Azure/AWS/GCP) Understanding of modern software architecture patterns Disclaimer: Research indicates that men will apply to a role when they only meet 50-60% of the descriptions More ❯

modern ML frameworks) 🏦 Background in financial services, banking, or fintech 📊 Experience building production-grade AI systems (MLflow, Airflow, FastAPI, etc.) ☁️ Familiarity with cloud platforms (GCP preferred, or AWS/Azure) 🔍 Strong analytical mindset and ability to solve complex problems 🤝 Excellent communication and collaboration skills ⚙️ Experience with data engineering, MLOps, or automation tools is a plus Why Join Us? 🌍 Work More ❯

and query tuning on relational and analytical databases (e.g., PostgreSQL, ClickHouse). Containers: Experience building, running, and deploying containerized services in local and production environments. Cloud platforms: Experience with Azure and distributed systems. Preferred Skills Kubernetes & Helm: Deploying and managing containerized applications at scale with reliability and fault tolerance. Kafka (Confluent): Familiarity with event-driven architectures; experience with Flink More ❯

Linux, Android, IoT). Develop test plans and protocols for APIs (REST, IPC), web interfaces, and OTA updates. Integrate automated testing into CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps). Support manual testing activities when required and promote automation best practices. Produce and maintain technical documentation and standards for automation and quality engineering. Technical Competencies Strong proficiency More ❯

and query tuning on relational and analytical databases (e.g., PostgreSQL, ClickHouse). Containers: Experience building, running, and deploying containerized services in local and production environments. Cloud platforms: Experience with Azure and distributed systems. Preferred Skills Kubernetes & Helm: Deploying and managing containerized applications at scale with reliability and fault tolerance. Kafka (Confluent): Familiarity with event-driven architectures; experience with Flink More ❯