126 to 150 of 2,472 Remote Azure Jobs

data mart design and development ETL (Extract, Transform, Load) processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication More ❯

data mart design and development ETL (Extract, Transform, Load) processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication More ❯

data mart design and development ETL (Extract, Transform, Load) processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication More ❯

in Actuarial Science, Finance, Computer Science, Mathematics, or a related field. Strong SQL and data modelling skills; experience with relational databases. Skilled in working with cloud platforms (e.g., AWS, Azure, or GCP) and data lake environments. Experience with actuarial models, principles, and data structures (e.g., Actuarial reserving techniques, cashflow projections under Solvency II and IFRS 17) life tables, claims More ❯

MVVM. Build and maintain robust .NET Framework and .NET Core backend services, APIs, and libraries. Implement modular application architectures to support scalability and maintainability. Integrate with cloud platforms (AWS, Azure) for distributed computing and storage. Technical Leadership & Collaboration Lead design reviews, code reviews, and architectural discussions to ensure technical excellence. Collaborate with product managers, designers, and cross-functional engineers More ❯

national security, or government sector experience Frontend/UI experience (e.g., React ) DevOps: Jenkins , Git/GitHub Actions , Bitbucket , Jira , Puppet Knowledge of Docker , Kubernetes , and cloud platforms ( AWS , Azure , GCP ) Data storage: MongoDB , SQL , DynamoDB , ElasticDB Familiarity with AWS CDK , NiFi The Offer: £55,000 - £75,000 Hybrid working : 4 days per week onsite Secure, mission-driven defence More ❯

distributed systems and integrating diverse technologies. Preferred Skills & Experience: Deep understanding of software architecture, design patterns, and secure coding practices. Hands-on experience with cloud services such as AWS , Azure , or Google Cloud , and CI/CD pipelines. Proficiency in SQL/NoSQL databases and modern version control systems (e.g., Git). Strong leadership skills with experience leading technical More ❯

skills/knowledge/experience: *Experience with asynchronous programming (e.g., asyncio, Celery). *Exposure to message brokers like SQS/SNS. *Certifications in cloud technologies or architecture (AWS/Azure Architect, TOGAF, etc.). *Experience/Understanding about integration patterns etc. *Proficient in java versions: JDK 17/21 with strong background OOP concept by working on various stages More ❯

Able to work with databases (SQL and/or NoSQL) and data modelling Collaborative approach to leading, mentoring, and working in Agile teams Desirable Working knowledge of cloud platforms (Azure, AWS, GCP) and containerization (Docker, Kubernetes) Exposure to/hands-on skills with systems that use ML/Artificial Intelligence Familiar with messaging technologies, Entity Framework, and/or More ❯

Able to work with databases (SQL and/or NoSQL) and data modelling Collaborative approach to leading, mentoring, and working in Agile teams Desirable Working knowledge of cloud platforms (Azure, AWS, GCP) and containerization (Docker, Kubernetes) Exposure to/hands-on skills with systems that use ML/Artificial Intelligence Familiar with messaging technologies, Entity Framework, and/or More ❯

knowledge of version control systems (e.g. Git) Comfortable designing Proof of Concepts or production-ready systems Great stakeholder engagement and client-facing skills Desirable: Knowledge of cloud platforms (AWS, Azure) Containerisation experience (Docker, Kubernetes) Infrastructure-as-code tools (Terraform, Ansible) Working with relational/document/graph databases Why Apply? You'll be solving real-world problems in a More ❯

development. Strong knowledge of Python frameworks such as Django, Flask, or FastAPI. Experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB). Familiarity with cloud platforms (AWS, GCP, or Azure). Experience with containerization tools (Docker, Kubernetes is a plus). Strong problem-solving skills and attention to detail. Excellent communication and teamwork skills. Bachelor's degree in Computer More ❯

development. Strong knowledge of Python frameworks such as Django, Flask, or FastAPI. Experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB). Familiarity with cloud platforms (AWS, GCP, or Azure). Experience with containerization tools (Docker, Kubernetes is a plus). Strong problem-solving skills and attention to detail. Excellent communication and teamwork skills. Bachelor's degree in Computer More ❯

understanding of networking and internet technologies Good grasp of OOA, OOD, and OOP principles Experience with Agile development methods Excellent written and verbal communication skills Desirable Skills: Cloud platforms (Azure, AWS or GCP) Front-end frameworks such as Blazor, Angular, React or Vue Experience with Entity Framework Familiarity with scripting languages Knowledge of SOAP/REST services Understanding of More ❯

Confidence in navigating, integrating, and developing solutions across multiple systems Solid understanding of software architecture, design patterns, and secure coding best practices Hands-on experience with cloud platforms (AWS, Azure, Google Cloud) and CI/CD pipelines is a plus Familiarity with SQL/NoSQL databases and version control systems like Git Strong leadership and ownership mindset with a More ❯

Good understanding of HTTP protocol and MS IIS Fluent English communication skills - minimum B1 level Familiarity with SQL Databases, .Net Core, Dependency injection, xUnit, Moq, DDD & TDD Experience with Azure (preferable) Experience working in an agile development environment Our Offer: Competitive salary commensurate with skills and experience Performance and bonus structure dependent on meeting set targets and personal performance More ❯

You embrace the chance to try new things, learn new skills and grow your experience. It would be great if you have: Experience of relevant cloud services within AWS, Azure or GCP. Experience working in an Agile environment. Experience working with common vendor products such as Snowflake or Data Bricks. Experience working with CI/CD tooling. What you More ❯

the project or program level. Familiarity with performance testing tools such as JMeter, Gatling, K6, or Neoload . Skilled in CI/CD pipeline integration (e.g., Jenkins, GitLab CI, Azure DevOps). Excellent stakeholder communication and ability to navigate complex client landscapes. Experience mentoring testers and fostering a culture of continuous learning and delivery excellence. Bonus Points For: Previous More ❯

security requirements Windows system administration experience, covering Windows 10 and Server 2012, 2016, 2019 Linux administration and user experience Expertise or interest in designing and deploying cloud-based infrastructure (Azure, AWS etc) Solid scripting capabilities using PowerShell, VB, or Bash Knowledge of cybersecurity best practices Experience implementing hardware integration projects Skills covering problem analysis and resolution in a secure More ❯

C++ Experience with microservices architecture and concepts including APIs, versioning, monitoring, etc. Experience with container-related technologies (Kubernetes, OpenShift, etc.), virtualization, or distributed systems Experience with AWS, GCP or Azure Ability to examine various technological areas deeply and deliver solutions Great communication and collaboration skills, with a solid attention to detail Ability to quickly learn new technologies Proficient written More ❯

as a backend/platform engineer Have deep expertise in Python and building reliable data-focused backend services Have hands-on experience with cloud infrastructure (GCP/AWS/Azure), infrastructure-as-code (Terraform), containerisation (Docker/k8s) and data pipelines (SQL, dbt, Airbyte) Love automation, process improvement and finding ways to help others work efficiently Are comfortable working More ❯

including Scrum and Kanban. Experience in Continuous Integration/Continuous Deployment (CI/CD), setting up and managing CI/CD pipelines using tools like Jenkins, GitLab CI, or Azure DevOps. Expertise in version control systems particularly Git, and collaborative development workflows. Design Strong skills in C and one or more of the following C++ for low-level programming More ❯

architecture principles Commercial experience with Java or C#/.NET Commercial experience with React and TypeScript for front-end development Familiarity with Git and CI/CD pipelines (preferably Azure DevOps) Familiarity with containerization and orchestration (preferably Docker and Kubernetes), or serverless deployments Experience with any, or all, of the following: Creation of microservices and APIs JSON Web Tokens More ❯

frameworks, and the Java Spring library. • Experience in Facilities Management technology would be advantageous. • Awareness and experience of Google Kubernetes Engine and GCP offerings plus otherengines such as Jenkins & Azure Dev Ops. What you get from us: If you're looking to build an exceptional career with an award-winning company you've come to the right place. We More ❯

software engineering principles for building scalable, maintainable, and production-ready AI systems. Cloud Platforms: Strong working knowledge and practical deployment experience on at least one major cloud platform (AWS, Azure, GCP), including their AI/ML services. LLMOps/MLOps: Expertise in designing and implementing robust MLOps/LLMOps pipelines for automated testing, CI/CD, monitoring, and governance More ❯