1,051 to 1,075 of 6,299 Azure Jobs

Qualifications Experience Extensive experience in data engineering, ideally in a technical leadership or lead role Proven track record designing and delivering enterprise-grade data platforms on GCP, AWS, or Azure Deep expertise in data modeling, data warehousing, distributed systems, and modern data lake architectures Advanced proficiency in Python (including PySpark) and SQL, with experience building scalable data pipelines and … machine learning pipelines and MLOps practices Additional experience with Databricks and specific AWS such as Glue, S3, Lambda Proficient in Git, CI/CD pipelines, and DevOps tools (e.g., Azure DevOps) Hands-on experience with web scraping, REST API integrations, and streaming data pipelines Knowledge of JavaScript and front-end frameworks (e.g., React) Additional Information Publicis Groupe operates a More ❯

commercial experience as a Business Analyst, Systems Developer or similar with experience in C# .NET (MVC, Webforms, .NET Core 8, Web APIs, Visual Studio); SQL (database design and administration); Azure cloud administration. Web programming experience (Blazor, JavaScript frameworks and HTML 5). Degree in IT, Computer Science, Software Engineering or similar. It is expected that interested applicants have good More ❯

Design Authority mode and demonstrable trusted advisor experience Ability to demonstrate advanced scripting and integration skills - JavaScript, SQL, API Web Services Experience integrating ServiceNow with Cloud Infrastructure (e.g AWS, Azure, GCP) Nice to have: Cloud migration experience GenAI experience ITILv4 or equivalent Certified SC clearance is desirable, or the ability to obtain SC clearance is required. What's in … Design Authority mode and demonstrable trusted advisor experience Ability to demonstrate advanced scripting and integration skills - JavaScript, SQL, API Web Services Experience integrating ServiceNow with Cloud Infrastructure (e.g AWS, Azure, GCP) Nice to have: Cloud migration experience GenAI experience ITILv4 or equivalent Certified SC clearance is desirable, or the ability to obtain SC clearance is required. Locations London Birmingham More ❯

and cloud technologies are advantageous. We're technology agnostic, using the right tools for the job at hand, and you'll have access to our strong partnerships with AWS, Azure and GCP. We're interested to hear from Solution Architects with experience across the majority of leading vendors including Azure, AWS, Google Cloud Platform, Oracle, IBM, Salesforce and More ❯

AI platforms/frameworks and implement the right fit for Deloitte landscape and uses cases. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex … and AI libraries and frameworks. Expert in implementing Agentic AI solutions, MCP protocols and integrating with GenAI based applications. Experience in working with cloud platforms and services, such as Azure, AWS and GCP. Excellent communication, collaboration, and stakeholder management skills. Certifications or accreditations in data science, AI, or cloud technologies. Expertise in prompt engineering. Prior experience with ethical AI More ❯

AI platforms/frameworks and implement the right fit for Deloitte landscape and uses cases. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex … and AI libraries and frameworks. Expert in implementing Agentic AI solutions, MCP protocols and integrating with GenAI based applications. Experience in working with cloud platforms and services, such as Azure, AWS and GCP. Excellent communication, collaboration, and stakeholder management skills. Certifications or accreditations in data science, AI, or cloud technologies. Expertise in prompt engineering. Prior experience with ethical AI More ❯

AI platforms/frameworks and implement the right fit for Deloitte landscape and uses cases. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex … and AI libraries and frameworks. Expert in implementing Agentic AI solutions, MCP protocols and integrating with GenAI based applications. Experience in working with cloud platforms and services, such as Azure, AWS and GCP. Excellent communication, collaboration, and stakeholder management skills. Certifications or accreditations in data science, AI, or cloud technologies. Expertise in prompt engineering. Prior experience with ethical AI More ❯

AI platforms/frameworks and implement the right fit for Deloitte landscape and uses cases. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex … and AI libraries and frameworks. Expert in implementing Agentic AI solutions, MCP protocols and integrating with GenAI based applications. Experience in working with cloud platforms and services, such as Azure, AWS and GCP. Excellent communication, collaboration, and stakeholder management skills. Certifications or accreditations in data science, AI, or cloud technologies. Expertise in prompt engineering. Prior experience with ethical AI More ❯

and cloud technologies are advantageous. We're technology agnostic, using the right tools for the job at hand, and you'll have access to our strong partnerships with AWS, Azure and GCP. We're interested to hear from Solution Architects with experience across the majority of leading vendors including Azure, AWS, Google Cloud Platform, Oracle, IBM, Salesforce and More ❯

AI platforms/frameworks and implement the right fit for Deloitte landscape and uses cases. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex … and AI libraries and frameworks. Expert in implementing Agentic AI solutions, MCP protocols and integrating with GenAI based applications. Experience in working with cloud platforms and services, such as Azure, AWS and GCP. Excellent communication, collaboration, and stakeholder management skills. Certifications or accreditations in data science, AI, or cloud technologies. Expertise in prompt engineering. Prior experience with ethical AI More ❯

to streamline our CI/CD processes, automate workflows, and optimize our cloud environments. Key Responsibilities Infrastructure Management: Design, implement, and manage scalable, reliable infrastructure using cloud platforms (AWS, Azure, Google Cloud). CI/CD Pipelines: Develop and maintain continuous integration and continuous deployment pipelines to automate application builds, testing, and deployment. Monitoring and Performance: Implement monitoring, logging More ❯

patterns and best practices for different business applications. Experience with data visualization tools and techniques to communicate insights and solution designs effectively. Knowledge of cloud computing platforms (e.g., AWS, Azure, GCP) and their AI/ML services. Basic understanding of programming languages like Python and R is beneficial. Education and Experience: Bachelor's or Master's, or equivalent degree … on AI and data-driven solutions. Deep experience in the financial services industry. Strong problem-solving, analytical, and communication skills. Relevant industry certifications (e.g., AWS Certified Machine Learning - Specialty, Azure AI Fundamentals or equivalent) are a plus. Connect to your business - Technology and Transformation Distinctive thinking, deep expertise, innovation, and collaborative working. That's what connects us. That's More ❯

with Java alongside Kotlin, Go, or Python. Application design, software development, and testing expertise in an Agile environment. Experience with the Spring ecosystem and Hibernate. Familiarity with AWS or Azure and DevOps technologies like Docker, Kubernetes, and Terraform. Proficiency in CI/CD pipelines and API integrations. Experience in financial services or banking is a plus. Work from our More ❯

Experience in trading and risk management systems for commodities covering front to back-office is highly desirable. Technical requirements Experience in diagnosing application problems in a Windows Server and Azure Kubernetes environment. Must evidence skills in SQL Server (2016 upwards) and/or Oracle (11g on) Knowledge of a scripting language (e.g. PowerShell) and/or proficiency with Python … already attained. Some experience of one or more of the following applications is desirable and indicative of the right type of experience: ION/FIS, CubeLogic, Workday. Experience in Azure App Insights is desirable. Person specification Excellent communication and interpersonal skills, with an ability to communicate effectively and professionally. Structured, systematic and analytical in approach with a problem-solving More ❯

technical leadership skills and mentorship abilities Proven experience with unit and integration testing Problem-solving, profiling, and debugging skills Strong communication and documentation skills Experience developing for cloud platforms (Azure, Google Cloud, AWS) If you're ready for your next challenge and want to shape the future of our client's organization, with the experience and skills of a More ❯

production and delivery processes of CAD drawings, aligning with client requirements. DevOps : Knowledge of Continuous Integration and Continuous Deployment (CI/CD) pipelines using tools such as GitHub Actions, Azure Pipelines. Basic understanding of cloud computing services (Google Cloud, Azure) and containerisation for deploying and managing applications. Collaboration with the business units & Pod involvement: Act as a liaison More ❯

solutions Participating in code reviews and agile ceremonies What we're looking for: Strong experience in Node.js and JavaScript (TypeScript a bonus) Experience working with cloud-native environments (AWS, Azure or GCP) Exposure to CI/CD pipelines and containerisation (Docker, Kubernetes) Comfortable working in a fast-moving consulting or client delivery environment Nice to have: Familiarity with frontend More ❯

maintenance and development of new customer facing platform features and improvements. Role requirements At least 4 years' commercial experience in C# TypeScript, JavaScript Postgres Desirables Angular, React or Vue Azure DevOps & Git AWS SQL Server Unit/Functional Testing The Company The company is a Software as a Service company providing software products to the hospitality industry. Apply now More ❯

help set and contribute to team standards, ensuring that projects use best practices. As part of the wider process work, you will be involved in deployment pipelines configuration using azure dev ops, builds, branching etc. Working with peer reviews on projects, you will be included in these regularly to keep a consistent eye overall and help keep standards high. More ❯

Rollup, or Parcel for bundling and optimizing web applications. Working knowledge of AWS Cloud services, particularly those related to web hosting, storage, and scalability. Familiarity with other platforms like Azure and Google Cloud is a plus. Strong skills in creating responsive and adaptive designs using HTML5 and CSS3, including pre-processors like SASS or LESS. Advanced knowledge of leading … development platforms (e.g., AWS, Azure, Salesforce, Pega, Docker, and Kubernetes). Strong knowledge of software development lifecycles and agile methodologies. Advanced knowledge of operating systems (e.g., Linux, UNIX, and macOS). Proficient in software development lifecycle and agile practices. Leading scripting and coding skills, along with a solid understanding of programming languages, to effectively develop and maintain software code. More ❯

help set and contribute to team standards, ensuring that projects use best practices. As part of the wider process work, you will be involved in deployment pipelines configuration using azure dev ops, builds, branching etc. Working with peer reviews on projects, you will be included in these regularly to keep a consistent eye overall and help keep standards high. More ❯

science fundamentals Expertise in CI/CD and automation Proficiency in languages such as Python, Java, Go, Rust, JavaScript, React, SQL Experience with Docker, Kubernetes, Kafka Familiarity with GCP, Azure, AWS Understanding of cloud storage, networking, and resource provisioning Desirable Master’s or PhD in Computer Science or related field GCP or Kafka certifications What you will get in More ❯

quality through code reviews, unit testing, and best development practices Contributing to architectural decisions and mentoring junior developers Supporting DevOps processes and cloud-based deployments (bonus if familiar with Azure) Nice to Have: Experience with PHP and legacy codebases Previous work in the financial services or SaaS industry What We’re Looking For: Proven experience as a Senior or More ❯

as-code, scripting, and modern hosting models * Familiarity with containers and cloud technologies * A problem-solving mindset with the ability to simplify complexity * Excellent collaboration and communication skills Skill: * Azure DevOps * Infrastructure Automation (Terraform) * Building CI/CD pipelines * Infrastructure as Code (IAC) * Docker/Kubernetes (Desirable) * Agile principles If interested, please email your CV to Sam John: By More ❯

Were looking for someone with: Minimum 3 years experience in a database developer/data engineer role Proficiency in SQL and Python Experience with cloud platforms (AWS, GCP, or Azure) Familiarity with data pipeline tools (e.g., SSIS, Spark) Strong grasp of data warehousing and data modelling principles Experience undertaking development work in C# Ability to create and troubleshoot SSRS More ❯