1 to 25 of 207 Permanent Azure Jobs in Scotland

will manage identities and associated permissions as well as core environment infrastructure such as storage, networking, logging & analytics, secrets management. A good understanding of Azure Container Apps and event driven processing would be a plus. As a Platform Engineer, your responsibilities will include: Core data platform infrastructure such as … Azure Data Factory, Azure BLOB Storage, Azure Batch etc. Develop automation scripts and tooling to create capacity within the Data Services team. Build CI/CD pipelines on GitHub Actions, including build/test/deployment workflows across Azure resources. Monitor system performance to analyse performance … security, and reliability utilising Azure Monitor, Azure Application Insights and Azure alerts. Integrate security and compliance into the platform with encryption and access management. Document configurations and processes so different teams understand how to use the Evelyn Data Platform. Collaborate with engineers and other stakeholders to understand More ❯

in well with our dynamic team. This is a Hybrid role (1-2 days in Glasgow) Qualifications: 2+ years of experience operating and troubleshooting Azure App Services, Azure Functions, Azure Logic Apps, Azure SQL, Azure Storage, Application Insights, Azure Redis, VNets and Azure … following would be a plus: Experience with Observability across multiple domains (APM, Infrastructure, Synthetics, Logs, etc...) within cloud and on-premise environments using Datadog, Azure Monitor and Application Insights, NewRelic and Grafana. Experience working in B2B SaaS companies. Experience with cloud containers, specifically Kubernetes. Responsibilities & Duties: Develop: Architecture, strategy … You guide the team in designing major components of systems and products. You lead the design and development of large and critical areas of Azure infrastructure. You are able to reason about the purpose of each component in a system and how they interact with each other to support More ❯

individual to join a talented and energetic team as a senior cloud engineer. What You’ll Be Doing You will design, implement and configure Azure services for a range of Azure workloads. Working with colleagues inside the organisation and across a diverse supply chain, you will setup and … hone Azure landing zones in a way that supports fast upscaling of existing and new digital products and services. You will be responsible for a combination of project and support work, involving the design, deployment and management of Azure cloud solutions. You will provide advice and guidance on … team members by knowledge sharing. You will identify improvements and prioritise initiatives to help strengthen our cloud maturity across all five pillars of the Azure Well-Architected Framework, as well as helping improve our Well Architected Framework review scores. You will work in collaboration with other DevOps product and More ❯

using SQL to analyse and query structured data stores. Proficiency with designing, developing and documenting data products. Proficiency with modern public cloud data offerings; Azure preferred, specifically Azure SQL, Azure Data Factory, Azure Databricks, Microsoft Fabric. Experience with Modern Data Warehouse and Lakehouse architectural principles. Experience More ❯

using SQL to analyse and query structured data stores. Proficiency with designing, developing and documenting data products. Proficiency with modern public cloud data offerings; Azure preferred, specifically Azure SQL, Azure Data Factory, Azure Databricks, Microsoft Fabric. Experience with Modern Data Warehouse and Lakehouse architectural principles. Experience More ❯

maintainable applications. DevOps and CI/CD Experience : Hands-on experience with DevOps practices. Familiarity with CI/CD pipelines and tools such as Azure DevOps. Technical Skills : Strong understanding of Microsoft 365 services and integration capabilities. Experience of Dataverse and other data sources. Problem-Solving Abilities : Excellent analytical More ❯

skills An interest to learn the business supported by the applications Skills Desired: MongoDB Knowledge of the Equity Derivative business Experience with cloud offerings (Azure/AWS) #J-18808-Ljbffr More ❯

cross-functional collaboration. Ability to manage multiple tasks and prioritize effectively. Preferable one or more Microsoft certifications in responsibility areas listed above (Power platform, Azure etc.). SQL knowledge (query and performance tuning, execution, index maintenance, etc.) as well as an understanding of database structures. In depth SQL Server More ❯

Experience developing fully functioning Java applications based on Spring/SpringBoot framework Scaling, and management using Kubernetes, and Terraform, both in the cloud (AWS, Azure or GCP) Experience in Agile delivery with knowledge of CI/CD, building pipelines, testing and architecture Appetite to work with emerging AI technologies More ❯

written communication skills An interest to learn the business supported by the applications MongoDB Knowledge of the Equity Derivative business Experience with cloud offerings (Azure/AWS) Seniority level Mid-Senior level Employment type Contract Job function Finance and Accounting/Auditing Industries: Staffing and Recruiting #J-18808-Ljbffr More ❯

skills. Willingness to learn about the business supported by the applications. Skills Desired: MongoDB. Knowledge of the Equity Derivative business. Experience with cloud offerings (Azure/AWS). Person Specification: Strong analytical and problem-solving abilities. Excellent communication and stakeholder management skills. Ability to work in a fast-paced More ❯

role before sharing their details with us. Nice to Have: Knowledge of banking, capital reporting, RWA calculation. Experience with cloud platforms such as AWS, Azure, or GCP. Knowledge of containerization technologies like Docker and orchestration tools like Kubernetes. Familiarity with continuous integration and continuous deployment (CI/CD) pipelines. More ❯

AWS SageMaker and Apache Airflow. Proficiency in data pre-processing, data wrangling, and augmentation techniques. Experience with cloud platforms (e.g. AWS, Google Cloud, or Azure) for deploying scalable AI solutions. Understanding of MLOps practices, model deployment, and monitoring in production environments. Experience with Docker, Kubernetes, and CI/CD More ❯

of what is under the hood of most modern frameworks (including websockets) Experience with one or more industry standard Cloud Service Providers, including AWS, Azure, or Google Cloud Experience delivering high-quality products in a large-scale commercial software development environment Experience with Kubernetes and commercial public cloud services More ❯

consulting and client delivery. Consultants have access to a vast array for different training and certifications in a variety of areas: cloud technologies (AWS, Azure, GCP), programming (Java, Kotlin, NodeJS, Spring Boot), DevOps (Terraform, Kubernetes, Docker), Cybersecurity (CISSP, CISM) and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework More ❯

the Microsoft Power Platform (Power Apps, Power Automate, Power BI, Dataverse). Strong knowledge of automation workflows , process optimization, and integration with Microsoft 365, Azure, and external APIs . Experience working with SharePoint, Dynamics 365, SQL, and Dataverse for data management and application development. Ability to design intuitive, user More ❯

Bring Power Platform Expertise - Strong hands-on experience with Dataverse and Dataverse for Teams. DevOps & Automation - Knowledge of CI/CD processes, ideally with Azure DevOps. Best Practice Champion - A strong understanding of design principles, governance, and industry standards. Client-Focused Mindset - Passionate about delivering impactful solutions tailored to More ❯

such as Cisco, Nexus, and Fortinet. Proficiency in Linux (Ubuntu, HAProxy) and Microsoft (IIS, MS-SQL) server administration. Experience with cloud platforms such as Azure, Terraform, and Kubernetes is beneficial. Knowledge of scripting (Powershell/Bash) or coding (C#/.Net) is an advantage. Familiarity with security technologies including More ❯

across the stack: Jest, Cypress, Playwright, xUnit Experience with the rest of our stack: C#, .Net (+Core), RabbitMQ, SQL Server, and/or Microsoft Azure Experience with managing and visualising large datasets Experience working in (or with) the Professional Services industry. What You'll Get Starting salary between More ❯

data platforms. Excellent knowledge of infrastructure architecture and security such as networking, containers, storage, API gateways, etc. with a special emphasis on AWS/Azure cloud infrastructure. Knowledge of software quality assurance principles, test automation tools, CI/CD tools, security tools, and application/systems monitoring. Experience in More ❯

consulting and client delivery. Consultants have access to a vast array for different training and certifications in a variety of areas: cloud technologies (AWS, Azure, GCP), programming (Java, Kotlin, NodeJS, Spring Boot), DevOps (Terraform, Kubernetes, Docker), Cybersecurity (CISSP, CISM) and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework More ❯

for new Taxes and Benefits. We work with leading technologies often supported by the companies behind them - Amazon Web Services (AWS), SAP, SAS, Pega, Azure, and Microsoft Power Platform to name a few, to develop and implement solution designs. You will be using these technologies and more to architect More ❯

data modelling and database management. Familiarity with DevOps practices and CI/CD pipelines for integration deployments. Certifications in relevant technologies or methodologies (e.g., Azure Certified Solutions Architect, Integration Architecture certifications). Experience with financial services industry-specific integration challenges. Understanding of cybersecurity principles related to system integrations. #J More ❯

they’re looking for a skilled Data Engineer to enhance their growing data team. Requirements: ✅ Strong experience with SQL, Python, and cloud platforms (AWS, Azure, or GCP) ✅ Expertise in ETL processes, data warehousing, and pipeline automation ✅ Experience with modern data stack technologies such as DBT, Snowflake, or BigQuery ✅ Strong More ❯

Skills & Experience NoSQL Know-How: Experience with MongoDB. Domain Knowledge: An understanding of the Equity Derivative business. Cloud Technologies: Experience with cloud platforms like Azure or AWS. Cutting-Edge Tech: Familiarity with technologies such as Kafka, IBM MQ, Snowflake, or high-performance data caching solutions. Interview Process 1st Round More ❯