676 to 700 of 1,555 Azure Jobs in Central London

and foster a culture of data-driven decision-making across the firm. Strong problem-solving ability with experience balancing business insight and technical depth (data governance, Power BI, SQL, Azure). Confident engaging both technical and non-technical audiences, with a track record of structured governance, measurable outcomes, and resilience in a fast-paced environment. Head of Data More ❯

for Strong experience with Java, Scala, Kotlin, or another JVM language. Solid understanding of modern software engineering principles — from CI/CD to cloud-native development (AWS, GCP, or Azure). Experience with frameworks like Spring Boot, Micronaut, or Ktor is a plus. A mindset geared toward collaboration, curiosity, and continuous improvement. More information Salary up to £100k Hybrid More ❯

and foster a culture of data-driven decision-making across the firm. Strong problem-solving ability with experience balancing business insight and technical depth (data governance, Power BI, SQL, Azure). Confident engaging both technical and non-technical audiences, with a track record of structured governance, measurable outcomes, and resilience in a fast-paced environment. Head of Data More ❯

Work with our core technology stack, including Python , Linux (via WSL) , PostgreSQL , SQL Server , Databricks , and leverage both Azure and AWS cloud platforms. Design and implement advanced solutions for data ingestion , transformation , and large-scale orchestration of network I/O. Manage Infrastructure as Code and collaborate with infrastructure teams to deliver new features for CFC’s Engineering Platform. More ❯

backend or full-stack software development experience • Strong coding experience in either Java, Golang (Go), Python or Scala – multiple would be even better! • Experience with cloud platforms e.g. AWS, Azure, GCP - Google Cloud • Experience with data warehouses e.g. BigQuery, Redshift, Snowflake • Ability to work collaboratively • Open to new AI tools and technologies • Could come from roles like Senior Backend More ❯

automation strategy and best practices, including test architecture, framework design, and reusable components Familiarity with CI/CD pipelines and integrating automated tests into build and deployment workflows (e.g., Azure DevOps, Jenkins) Ability to analyze business requirements and translate them into automated test scenarios Knowledge of API testing tools (e.g., RestSharp, Postman) and integration testing is a plus Experience More ❯

ll have the chance to suggest new technologies and ways of working. This is a hands-on technical role where you’ll also get exposure across multi-cloud environments (Azure and AWS), Palo Alto firewalls, and networking. To thrive here, you’ll need strong experience in Windows environments, previous project delivery experience alongside BAU work, and some scripting capability. More ❯

to work across a variety of platforms and challenges. What you'll need: Solid hands-on experience with Python and SQL Strong knowledge of data pipelines, cloud infrastructure (AWS & Azure), and integration tools Familiarity with tools like Airflow and version control, GIT. Confident working with structured and unstructured datasets Comfortable contributing to both technical delivery and collaborative problem-solving More ❯

Work with our core technology stack, including Python , Linux (via WSL) , PostgreSQL , SQL Server , Databricks , and leverage both Azure and AWS cloud platforms. Design and implement advanced solutions for data ingestion , transformation , and large-scale orchestration of network I/O. Manage Infrastructure as Code and collaborate with infrastructure teams to deliver new features for CFC’s Engineering Platform. More ❯

backend or full-stack software development experience • Strong coding experience in either Java, Golang (Go), Python or Scala – multiple would be even better! • Experience with cloud platforms e.g. AWS, Azure, GCP - Google Cloud • Experience with data warehouses e.g. BigQuery, Redshift, Snowflake • Ability to work collaboratively • Open to new AI tools and technologies • Could come from roles like Senior Backend More ❯

to work across a variety of platforms and challenges. What you'll need: Solid hands-on experience with Python and SQL Strong knowledge of data pipelines, cloud infrastructure (AWS & Azure), and integration tools Familiarity with tools like Airflow and version control, GIT. Confident working with structured and unstructured datasets Comfortable contributing to both technical delivery and collaborative problem-solving More ❯

security, and scalability. Mentor future engineers as the team grows. Requirements: High-performance/high-transactional computing environments. C++ and modern software engineering best practices. Cloud infrastructure (AWS, GCP, Azure, or similar). Exposure to or interest in machine learning frameworks (e.g., PyTorch, TensorFlow) — not essential but beneficial. Building and scaling complex systems end-to-end. C++/Embedded More ❯

A Data Engineering background (or similar) with excellent hands-on experience and understanding of Data Warehouse (e.g. BigQuery, Redshift, Snowflake, Databricks), orchestration, data modelling and cloud technology (AWS, GCP, Azure) Strong AI literacy, including leveraging AI to pull insights from structured and unstructured data Excellent communication skills with the ability to collaborate with and present to C-Suite. If More ❯

ll have the chance to suggest new technologies and ways of working. This is a hands-on technical role where you’ll also get exposure across multi-cloud environments (Azure and AWS), Palo Alto firewalls, and networking. To thrive here, you’ll need strong experience in Windows environments, previous project delivery experience alongside BAU work, and some scripting capability. More ❯

with strategic goals. Key skills & Responsibilities Proven experience in a similar role within the London Insurance Market Strong understanding of cloud-based applications and insurance platforms Familiarity with SQL, Azure DevOps, ServiceNow, and ITIL frameworks Experience managing hybrid teams and working with offshore partners Excellent stakeholder engagement and communication skills If this role sounds of interest and you would More ❯

A Data Engineering background (or similar) with excellent hands-on experience and understanding of Data Warehouse (e.g. BigQuery, Redshift, Snowflake, Databricks), orchestration, data modelling and cloud technology (AWS, GCP, Azure) Strong AI literacy, including leveraging AI to pull insights from structured and unstructured data Excellent communication skills with the ability to collaborate with and present to C-Suite. If More ❯

leadership across various aspects of solution architecture Extensive familiarity with emerging technologies and architectural trends, such as: Microservices vs Packaged Solutions Cloud vs On-premise Cloud architectures (AWS, Google, Azure, etc.) Strong technical background with previous experience in software engineering or development Outstanding communication skills with the ability to cultivate strong client relationships Capacity to deliver strategic insights to More ❯

Strong background in architecture, technical design, and large-scale IT delivery Expertise in web technologies, security, performance, and high availability Agile methodology proficiency (Scrum, Kanban); tools like Jira or Azure DevOps Excellent communication and stakeholder management Proven leadership and team development capabilities Preferred Skills Experience in retail sectors SAP S/4HANA integration knowledge Relevant SAP or project management More ❯

Strong background in architecture, technical design, and large-scale IT delivery Expertise in web technologies, security, performance, and high availability Agile methodology proficiency (Scrum, Kanban); tools like Jira or Azure DevOps Excellent communication and stakeholder management Proven leadership and team development capabilities Preferred Skills Experience in retail sectors SAP S/4HANA integration knowledge Relevant SAP or project management More ❯

statistics, time-series forecasting, collaborative filtering, and deep learning Proficiency in Python and ML libraries (e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Experience with cloud platforms (GCP, AWS, Azure) and tools like Dataiku and Databricks Experience with ML Ops, including deployment, monitoring, and retraining pipelines Ability to work cross-functionally with marketing, CRM, and engineering teams Excellent communication More ❯

security matters. Skills & Experience Required Proven experience as a Solutions Architect, with strong exposure to infrastructure and security architecture within financial services or other regulated sectors. Expertise across cloud (Azure, AWS) and on-premise hybrid infrastructure environments. Strong understanding of security frameworks (e.g. NIST, ISO 27001, CIS) and architectural best practices. Experience with network design, identity and access management More ❯

Principal: £120,000–£140,000 base + ~20%+ bonus Team : 3–4 person AI team within a 100-person private equity firm Tech Stack : Python, LLMs, MLOps, cloud (Azure, AWS, GCP), agentic systems Visa Sponsorship : Happy to sponsor Interested? Please apply below. More ❯

3+ with open-source real-time data feeds (Amazon Kinesis, Apache Kafka, Apache Pulsar or Redpanda) Exposure building and managing data pipelines in production. Experience integrating serverless functions (AWS, Azure or GCP). Passion for fintech and building products that make a real difference. Day to day: Develop and maintain our real-time data streaming pipelines. Write clean, reusable More ❯

security matters. Skills & Experience Required Proven experience as a Solutions Architect, with strong exposure to infrastructure and security architecture within financial services or other regulated sectors. Expertise across cloud (Azure, AWS) and on-premise hybrid infrastructure environments. Strong understanding of security frameworks (e.g. NIST, ISO 27001, CIS) and architectural best practices. Experience with network design, identity and access management More ❯

3+ with open-source real-time data feeds (Amazon Kinesis, Apache Kafka, Apache Pulsar or Redpanda) Exposure building and managing data pipelines in production. Experience integrating serverless functions (AWS, Azure or GCP). Passion for fintech and building products that make a real difference. Day to day: Develop and maintain our real-time data streaming pipelines. Write clean, reusable More ❯