1,301 to 1,325 of 8,610 Azure Jobs in the UK

Github Actions, CircleCI etc) Skills we’d love to see/Amazing Extras: Solution development and delivery into at least one cloud platform (AWS, Azure, GCP) Knowledge of Database systems and models. Ability to use wide variety of open-source technologies. Experience with logging/monitoring tools (DataDog, StackDriver More ❯

Take calculated risks, champion new ideas, and cultivate your craft. What You Bring 7+ years of applicable experience. Experience managing cloud platforms such as Azure, AWS, or similar. Experience operating in Kubernetes platforms like AKS, EKS, or similar. Experience using languages such as Python, Go, C#, Java, or similar. More ❯

Kafka, Kubernetes, Zookeeper, and HDFS. • Automate Release Processes: Improve reproducibility, testability, and quality of our releases by automating release processes. Knowledge of Ansible and Azure DevOps is highly beneficial. • Collaborate Cross-Functionally: Work closely with various teams to understand and meet their security and data requirements, ensuring that our More ❯

building scalable, high-quality data models that serve complex business use cases. Knowledge of dbt and experience with cloud data warehouses (BigQuery, Snowflake, Databricks, Azure Synapse etc). Proficiency in building BI dashboards and self-service capabilities using tools like Tableau and Looker. Excellent communication skills and experience in More ❯

learn the business supported by the applications. Desirable skills/knowledge/experience: MongoDB. Knowledge of the Equity Derivative business. Experience with cloud offerings (Azure/AWS). Some experience of technologies such as MongoDB, Kafka, IBM MQ, snowflake or other leading edge high performant data and caching technologies More ❯

e.g., AWS Certified Data Analytics, Google Data Analytics Professional Certificate). Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure). Experience with data visualization design principles and storytelling techniques. Knowledge of agile methodologies and project management. Strategic thinking with the ability to link More ❯

and Kibana is desired. Deployment environment: Kubernetes, Docker, microservices. Experience on Talos Kubernetes is an advantage. Deployment experience in cloud-based environment AWS/Azure/GCP/OpenShift is an advantage. Experience with CI/CD pipeline - Jenkins etc is an advantage. Source Control (svn, github) and Ticketing More ❯

learn the business supported by the applications. Desirable skills/knowledge/experience: MongoDB. Knowledge of the Equity Derivative business. Experience with cloud offerings (Azure/AWS). Some experience of technologies such as MongoDB, Kafka, IBM MQ, snowflake or other leading edge high performant data and caching technologies More ❯

details to both expert engineers and non-technical business leaders. Have Some Cloud/Data Familiarity Experience with databases, cloud infrastructure (AWS, GCP, or Azure), or AI/ML tools is a plus—but an eagerness to learn is even more important. Preferred Qualifications Bachelor’s or Master’s More ❯

details to both expert engineers and non-technical business leaders. Have Some Cloud/Data Familiarity Experience with databases, cloud infrastructure (AWS, GCP, or Azure), or AI/ML tools is a plus—but an eagerness to learn is even more important. Preferred Qualifications Bachelor’s or Master’s More ❯

e2e tests, using frameworks like Jest & Playwright. Containerization and Orchestration : Experience with Docker and Kubernetes. Cloud Services Familiarity : Knowledge of cloud platforms like AWS, Azure, or GCP. Preferred Applied AI: Previous experience leading or being involved in AI-based feature development is highly appreciated. No-code tools: Prior experience More ❯

for system design, troubleshooting and maintenance What are we looking for? Strong experience with a cloud provider (AWS preferred but we're open to Azure and GCP) Use of Terraform as infrastructure as code Comfortable using Python/Golang as a programming language Experience around building and maintaining production More ❯

IFS Report Studio, IFS Report Designer, Experience with Crystal Reports, Experience with Data architecture and modelling, Oracle PL/SQL Professional Certification, Familiarity with Azure DevOps principles, tools and methodologies, Experience with additional Database Management Systems (SQL Server, Sybase, MongoDB, etc.), Experience building and utilising SSIS Packages, Experience building More ❯

Junit Maven Logging frameworks Apache libraries GOF Patterns MS SQL Server/SQL & PL Experience in Kafka is a plus Experience in Monitoring solutions - Azure Insights/Grafana etc. is a plus ETRM/CTRM experience Knowledge of the Endur application with experience developing (OpenJVS and OpenComponents) plugin-based More ❯

in issue and project tracking software tools, such as JIRA Proven technical background in some of the following areas - Programming languages, Hosting environment (ideally Azure or AWS), Data modelling, Design UX/UI process Excellent organisational skills, with a proven track-record of digital project management Proven effective people More ❯

is testable. Strong analytical, technical, and communication (verbal and written) skills. Knowledge of at least 1 public cloud hosting provider (AWS (preferred), Google Cloud, Azure or similar). You like working in collaborative environment with a diverse team that consists of members from front-end and back-end engineering More ❯

problems It would be great if you also had experience in some of the following: Cloud technology training and certification, such as AWS or Azure A scaled agile framework certification, such as SAFe or Experience in full-stack technical design Mentoring junior engineers and nurturing their passion for engineering More ❯

problems It would be great if you also had experience in some of the following: Cloud technology training and certification, such as AWS or Azure A scaled agile framework certification, such as SAFe or Experience in full-stack technical design Mentoring junior engineers and nurturing their passion for engineering More ❯

and Master Data Management. Experience with integration patterns and methods like REST, JSON, XML or SOAP web services. Knowledge of SSO, RBAC, MFA in Azure AD and other modern authentication concepts. Up-to-date knowledge of cybersecurity threats, current best security practices, threat modelling and risk mitigation techniques. Ability More ❯

related domains. Proficiency in backend development (e.g., Java or similar languages), RESTful APIs, and integration services. Experience with cloud platforms such as AWS or Azure, and cloud-native architecture principles. Understanding of financial operations, ERP systems (e.g., SAP, Oracle), or compliance-driven workflows is a plus. Track record of More ❯

and optimizing statistical and machine learning models to solve business problems. You have experience with at least one of the major cloud platforms (AWS, Azure, GCP). You have acquired domain expertise in the financial services industry (banking, insurance, capital markets, payments, etc.). You are fluent in Spanish More ❯

and generate insights using Databricks analytical tools and features Practical knowledge of common data engineering and BI/data visualisation integrations such as dbt, Azure Data Factory, PowerBI and Sigma Experience using native functionality to deploy and interact with Large Language Models Ability to develop, test and deploy machine More ❯

Digital Service Standard and Technology Code of Practice Proven experience delivering a complex software solution hosted on one of the leading cloud platforms (AWS, Azure, GCP), with working knowledge of other cloud platforms Demonstrable expertise in software engineering practitioner skills (i.e. a programming language, frameworks, cloud technologies) evidenced by More ❯

Strong programming skills in JavaScript, or Python/other AI-related languages. Strong SQL and data analytics skills. Familiarity with cloud platforms (AWS and Azure) for AI deployment. Knowledge of MLOps principles for scaling AI models. Understanding of knowledge graphs, semantic search, and vector databases. AI Ethics and Responsible More ❯

e2e tests, using frameworks like Jest & Cypress. Containerization and Orchestration: Experience with Docker and Kubernetes. Cloud Services Familiarity: Knowledge of cloud platforms like AWS, Azure, or GCP. Preferred Applied AI: Previous experience leading or being involved in AI-based feature development is highly appreciated. No-code tools: Prior experience More ❯