101 to 125 of 5,011 Azure Jobs in the UK

specific data challenges (e.g. public sector, manufacturing, consumer products, energy, etc.) (nice to have) Working knowledge of one or more major cloud platforms (e.g. Azure, AWS, GCP) and their data/AI ecosystems (nice to have) Working knowledge of one or more architectural frameworks such as TOGAF (nice ...

automation. In this role, you'll lead the design and delivery of Infrastructure as Code (IaC) and CI/CD solutions across a hybrid, Azure-first environment, working closely with senior stakeholders, architects, and engineering teams. You'll combine hands-on technical expertise with leadership, setting automation standards, shaping … Responsibilities: Design and deliver enterprise-scale automation using Terraform, Bicep, PowerShell and Python Build and improve CI/CD pipelines with GitHub Actions and Azure DevOps Act as the Azure automation SME, advising on security, resilience, and cost efficiency Influence standards and governance via the Technical Design Authority ...

across automation, IaC, and modern DevOps practices. Senior Cloud/DevOps Engineer Responsibilities Design, build and maintain secure, scalable cloud infrastructure solutions across AWS, Azure or GCP. Implement Infrastructure as Code (IaC) using Terraform to automate provisioning and configuration. Develop and manage CI/CD pipelines using tools such … Jenkins, GitHub Actions or Azure DevOps. Support the operation of distributed systems, ensuring reliability, performance and security. Contribute coding expertise in languages such as Python, Go or JavaScript. Collaborate closely with clients and cross-functional teams, providing clarity and technical guidance throughout delivery. Troubleshoot complex technical issues using structured ...

continuously improving ways of working within an agile DevOps environment. Key responsibilities include: • Build & Deliver: Design, develop, and maintain scalable data pipelines using Databricks, Azure Data Factory, and Python. • Ensure Quality: Maintain data quality, consistency, and lineage across ingestion, transformation, and delivery layers. • Orchestrate & Monitor: Implement orchestration, scheduling … should be comfortable taking ownership of data solutions, continuously improving them, and supporting others to succeed. Essential qualifications: • Strong experience with Databricks, SQL, Azure Data Factory, and Python. • Experience working within Azure-based data platforms. • Proven background in building and maintaining scalable data pipelines. • Experience with Azure ...

design, implement, and manage automated CI/CD pipelines within our cloud and Salesforce ecosystems. You will own build and deployment workflows in Azure DevOps, drive environment stability and release governance, and partner closely with Salesforce, MuleSoft, QA, and Operations. You will be responsible for ensuring seamless software delivery … ELIGIBLE FOR SC CLEARANCE* What you'll be doing: CI/CD Pipeline Management: Design, configure, and maintain end-to-end automated pipelines using Azure DevOps for both standard applications and Salesforce-specific workflows. (Repos, Pipelines, Artifacts) for Salesforce and MuleSoft components; define branching, versioning, and release workflows. Salesforce ...

skills (Python preferred) with experience in frameworks and tools such as JavaScript, Kafka, and reactive systems Extensive experience with cloud-based development, particularly on Azure, including AI/ML services and data platforms Proven experience with Kubernetes for application deployment, scaling, and monitoring Strong background in CI/… code tools such as Terraform and Helm Advanced/Specialist Expertise Experience building and deploying GenAI solutions using frameworks such as LangChain and Azure OpenAI Development of enterprise‐grade RAG (Retrieval-Augmented Generation) systems, including context engineering and multimodal data pipelines Design and deployment of autonomous multi‐agent systems ...

engineering approaches will be highly valuable. Essential qualifications: • Extensive experience in Platform Engineering, DevOps, Site Reliability Engineering, or DevSecOps leadership roles • Expert knowledge of Azure and cloud-native engineering practices • Proven success designing and implementing CI/CD solutions using Azure DevOps, Jenkins, GitHub Actions, and Git • Advanced … capability with Infrastructure as Code tools including Terraform, Azure Bicep, ARM Templates, and Ansible • Deep understanding of Linux and/or Windows Server administration within enterprise environments • Hands-on experience with containerisation and orchestration technologies such as Docker and Kubernetes • Proficiency in scripting and automation using PowerShell, Bash, Python ...

control workflows CI/CD tools (GitHub Actions, GitLab etc.) Container platforms (Docker, Kubernetes) Infrastructure-as-code (Terraform, Ansible, Pulumi, CloudFormation) Cloud platforms (AWS, Azure, GCP) A background in financial services or similar regulated industries Familiarity with compliance frameworks, and security requirements (e.g. … strategies Excellent written and verbal communication skills, with the ability to translate complex technical topics to both technical and non-technical stakeholders. AWS/Azure/GCP certifications, CISSP, CISM, or other security certifications are a plus Perks & Benefits Competitive salary. Generous equity plan. Remote-first working environment with ...

control workflows CI/CD tools (GitHub Actions, GitLab etc.) Container platforms (Docker, Kubernetes) Infrastructure-as-code (Terraform, Ansible, Pulumi, CloudFormation) Cloud platforms (AWS, Azure, GCP) A background in financial services or similar regulated industries Familiarity with compliance frameworks, and security requirements (e.g. … strategies Excellent written and verbal communication skills, with the ability to translate complex technical topics to both technical and non-technical stakeholders. AWS/Azure/GCP certifications, CISSP, CISM, or other security certifications are a plus Perks & Benefits Competitive salary. Generous equity plan. Remote-first working environment with ...

scripts, and playbooks to validate infrastructure and platform deployments > Integrate testing into CI/CD pipelines using tools such as Jenkins, GitLab CI, or Azure DevOps > Execute functional, non-functional, and performance testing across infrastructure components (compute, storage, networking, containers, cloud) > Collaborate closely with engineers and stakeholders to ensure … system design > Experience working collaboratively with technical teams and stakeholders Desirable Skills > Experience with VMware/vCenter environments > Knowledge of cloud platforms (AWS, Azure, GCP) > Familiarity with test frameworks and tools (Robot Framework, Selenium, Cypress, Playwright) > Experience with monitoring and observability tools (Grafana, ELK, Splunk, InfluxDB) > Understanding of OpenShift ...

data architecture, data modelling, and data management principles Hands-on SQL experience Experience designing modern data platforms and cloud-based solutions Knowledge of AWS, Azure, GCP and/or Snowflake Strong understanding of data governance, data quality, and data security Excellent stakeholder management and communication skills Desirable Skills Data ...

will have: Demonstrable experience of building data pipelines using Spark or Pandas Experience working with one or more of the main cloud providers (AWS, Azure or Google) Experience of big data platforms (EMR, Databricks or DataProc) Experience building data platforms such as Data Lakes, Data Warehouses or Data Meshes … automated data quality checks and metrics Experience creating and/or maintaining production software delivery pipelines using common CI/CD tools (GitHub Actions, Azure DevOps, Jenkins, CircleCI etc.) Experience productionising machine learning algorithms Experience with Infrastructure as Code (Terraform, CloudFormation, ARM templates etc.) Experience with data reporting ...

will have: Demonstrable experience of building data pipelines using Spark or Pandas Experience working with one or more of the main cloud providers (AWS, Azure or Google) Experience of big data platforms (EMR, Databricks or DataProc) Experience building data platforms such as Data Lakes, Data Warehouses or Data Meshes … automated data quality checks and metrics Experience creating and/or maintaining production software delivery pipelines using common CI/CD tools (GitHub Actions, Azure DevOps, Jenkins, CircleCI etc.) Experience productionising machine learning algorithms Experience with Infrastructure as Code (Terraform, CloudFormation, ARM templates etc.) Experience with data reporting ...

will have: Demonstrable experience of building data pipelines using Spark or Pandas Experience working with one or more of the main cloud providers (AWS, Azure or Google) Experience of big data platforms (EMR, Databricks or DataProc) Experience building data platforms such as Data Lakes, Data Warehouses or Data Meshes … automated data quality checks and metrics Experience creating and/or maintaining production software delivery pipelines using common CI/CD tools (GitHub Actions, Azure DevOps, Jenkins, CircleCI etc.) Experience productionising machine learning algorithms Experience with Infrastructure as Code (Terraform, CloudFormation, ARM templates etc.) Experience with data reporting ...

Data Engineer in enterprise or government environments. Proficiency in SQL and Python for data engineering tasks. Experience with cloud platforms such as: AWS, Azure, Google Cloud Platform (GCP) Hands-on experience with data technologies such as: Apache Spark, Databricks, Kafka, Airflow, Snowflake, Hadoop ecosystems Experience designing and maintaining data … warehouses and data lakes. Knowledge of DevOps and CI/CD tooling (e.g. Git, Jenkins, Azure DevOps, Terraform). Strong understanding of data governance, security, and compliance. Experience working within Agile delivery teams. Desirable Skills Experience in public sector, defence, or regulated industries. Knowledge of data mesh or modern ...

Data Engineer in enterprise or government environments. Proficiency in SQL and Python for data engineering tasks. Experience with cloud platforms such as: AWS, Azure, Google Cloud Platform (GCP) Hands-on experience with data technologies such as: Apache Spark, Databricks, Kafka, Airflow, Snowflake, Hadoop ecosystems Experience designing and maintaining data … warehouses and data lakes. Knowledge of DevOps and CI/CD tooling (e.g. Git, Jenkins, Azure DevOps, Terraform). Strong understanding of data governance, security, and compliance. Experience working within Agile delivery teams. Desirable Skills Experience in public sector, defence, or regulated industries. Knowledge of data mesh or modern ...

Data Engineer in enterprise or government environments. Proficiency in SQL and Python for data engineering tasks. Experience with cloud platforms such as: AWS, Azure, Google Cloud Platform (GCP) Hands-on experience with data technologies such as: Apache Spark, Databricks, Kafka, Airflow, Snowflake, Hadoop ecosystems Experience designing and maintaining data … warehouses and data lakes. Knowledge of DevOps and CI/CD tooling (e.g. Git, Jenkins, Azure DevOps, Terraform). Strong understanding of data governance, security, and compliance. Experience working within Agile delivery teams. Desirable Skills Experience in public sector, defence, or regulated industries. Knowledge of data mesh or modern ...

Data Lake etc. Data/Analytics - solving enterprise data and analytics problems using technology Cloud - hands-on Public Cloud experience in either AWS/Azure/Google, both their 'services' and 'how' to work in the cloud such as DevOps-centric approach Security - having worked in sensitive data environments … following essential criteria: Demonstrable experience in designing large scale cloud migration projects/programmes with open source and commercial software within AWS, Azure, GCP or hybrid Experience in operating within a multi-disciplined team and clearly communicating complex technology solutions to technical and non-technical people Experience designing event ...

OpenAI, Cohere, or working with open-source models like Llama). Cloud Proficiency: Practical experience with at least one major cloud provider ( AWS, GCP, Azure ), including their AI & ML services (e.g., SageMaker, Vertex AI, Azure ML). Technical leadership Experience: Of small or large teams of engineers ...

supporting clinical systems within NHS or healthcare environments. *Knowledge of clinical workflows and coding standards (e.g. ICD, SNOMED). *Experience with cloud platforms (Azure/AWS), CI/CD pipelines, and containerisation. *Familiarity with XML, JSON, and modern data exchange standards. Additional Criteria Essential *Advanced skills in system design … discipline, or equivalent experience. *Relevant technical certifications or evidence of continuous professional development. Desirable *Training or certification in modern JavaScript frameworks, cloud platforms (e.g. Azure, AWS), or DevOps practices. Disclosure and Barring Service Check This post is subject to the Rehabilitation of Offenders Act (Exceptions Order ...

OpenAI, Cohere, or working with open-source models like Llama). Cloud Proficiency: Practical experience with at least one major cloud provider ( AWS, GCP, Azure ), including their AI & ML services (e.g., SageMaker, Vertex AI, Azure ML). Technical leadership Experience: Of small or large teams of engineers ...

OpenAI, Cohere, or working with open-source models like Llama). Cloud Proficiency: Practical experience with at least one major cloud provider ( AWS, GCP, Azure ), including their AI & ML services (e.g., SageMaker, Vertex AI, Azure ML). Technical leadership Experience: Of small or large teams of engineers ...

depth knowledge and hands‐on experience with Kubernetes and its managed counterparts (EKS, AKS, GKE). Public Cloud Expertise: In‐depth knowledge of AWS, Azure, or GCP services, architecture, and best practices. DevOps Mastery: Excellent knowledge of CI/CD, containerisation, and serverless technologies. Networking: Expertise in designing … Proven commitment to staying up‐to‐date with the latest trends and contributing to industry knowledge sharing. Qualifications Certification in relevant cloud technologies (AWS, Azure, GCP) at an expert/professional level is highly desirable, e.g.: AWS Solutions Architect Professional AWS Certified Advanced Networking – Specialty (highly desirable) Certification ...

years Python experience Ai Tools Key Requirements Strong expertise in Python web development frameworks with experience working in cloud environments such as AWS, Azure, or GCP. Experience with strong AI tools is a must Skilled in applying software technical design principles to build scalable, secure, and maintainable solutions within ...

Essential Skills Strong experience with Informatica. Proven delivery experience on data engineering or data transformation projects. Hands-on AWS experience. Experience working within Azure environments. Strong SQL skills and understanding of modern data engineering principles. Desirable Skills Python and PySpark development. AWS services including EMR, S3, Lambda, Athena ...