1,351 to 1,375 of 4,455 Permanent DevOps Jobs

handling Requirements: 5+ years in data engineering or Strong experience with Azure, Databricks, Microsoft Fabric, and Snowflake Proficiency in SQL, Python, and tools like dbt and Airflow Familiarity with DevOps practices in a data context Benefits: Work on impactful, enterprise-wide data projects Collaborate with architects, analysts, and data scientists Be part of a supportive, innovative, and forward-thinking team More ❯

handling Requirements: 5+ years in data engineering or Strong experience with Azure, Databricks, Microsoft Fabric, and Snowflake Proficiency in SQL, Python, and tools like dbt and Airflow Familiarity with DevOps practices in a data context Benefits: Work on impactful, enterprise-wide data projects Collaborate with architects, analysts, and data scientists Be part of a supportive, innovative, and forward-thinking team More ❯

in Dynamics 365 F&O development Proficiency in X++ and C# Experience with data management, SQL, and Power BI. Strong understanding of F&O business processes. Knowledge of Azure DevOps Key Responsibilities: Develop, test and deploy customisations, integrations and functionality within D365 F&O Managing system performance and security testing Analyse and debug complex technical issues Create and maintain documentation More ❯

ll Be Doing: Lead the design and implementation of observability frameworks using Splunk for end-to-end monitoring, logging, and tracing. Drive automation of infrastructure provisioning and configuration using DevOps best practices . Provide technical authority and mentorship to engineering teams. Build and optimize ETL pipelines and data workflows for seamless data integration. Manage Docker/Kubernetes environments for containerized More ❯

current version preferred) Strong knowledge of D365 F&O modules: General Ledger, Project Management, Accounts Payable/Receivable, Cash & Bank, Procurement, Fixed Assets, Revenue Recognition Experience with LCS, Azure DevOps, Power Platform, and Business Intelligence Proficiency in SQL, Python, Power BI Financial reporting systems experience (e.g., Tagetik) Strong project management and business analysis skills Please DM or email if this More ❯

and EOD processes. Solid problem-solving skills and the ability to deliver innovative solutions. Excellent communication and collaboration abilities. Strong knowledge of Kubernetes and container orchestration. Understanding of various DevOps tools Nice to have • Familiarity with cloud-based auto-scaling (AWS, Azure, or GCP).• Knowledge of CI/CD pipelines and infrastructure-as-code tools. More ❯

tools like SQL, Spark, and Databricks. Apply clustering, classification, regression, time series modelling, NLP, and deep learning. Develop recommendation engines and leverage third-party data enhancements. Implement MLOps/DevOps practices in cloud environments (AWS, Azure, GCP). Ensure explainability, bias detection, and algorithmic fairness in models. Collaborate with stakeholders to translate business challenges into data-driven solutions. Requirements: MSc More ❯

tools like SQL, Spark, and Databricks. Apply clustering, classification, regression, time series modelling, NLP, and deep learning. Develop recommendation engines and leverage third-party data enhancements. Implement MLOps/DevOps practices in cloud environments (AWS, Azure, GCP). Ensure explainability, bias detection, and algorithmic fairness in models. Collaborate with stakeholders to translate business challenges into data-driven solutions. Requirements: MSc More ❯

a team Excellent analysis skills and logical approach to problemsaving Ability to change with the needs of the business Understanding of testing and implementation projects Any knowledge of Azure DevOps or ClickUps would be advantageous, although not essential Understanding of C# would be beneficial Understanding of Agile/Waterfall methodologies Experience in SQL would be beneficial This is a fantastic More ❯

HP, Landesk, etc.) • Experience with orchestration tools (ex. HP Operations Orchestrator, BMC Atrium Orchestrator) • Micro-services architecture knowledge, enterprise integration patterns • Experience in Jira, Confluence, Rabbit MQ, Apache Camel, DevOps • Experience developing and implementing systems using Agile/Scrum methodology • Experience with working or developing with JavaScript - HTML5, Jelly, jQuery and AngularJS a plus If you are interested in this More ❯

HP, Landesk, etc.) • Experience with orchestration tools (ex. HP Operations Orchestrator, BMC Atrium Orchestrator) • Micro-services architecture knowledge, enterprise integration patterns • Experience in Jira, Confluence, Rabbit MQ, Apache Camel, DevOps • Experience developing and implementing systems using Agile/Scrum methodology • Experience with working or developing with JavaScript - HTML5, Jelly, jQuery and AngularJS a plus If you are interested in this More ❯

team Excellent analysis skills and logical approach to problem-saving Ability to change with the needs of the business Understanding of testing and implementation projects Any knowledge of Azure DevOps or ClickUps would be advantageous, although not essential Understanding of C# would be beneficial Understanding of Agile/Waterfall methodologies Experience in SQL would be beneficial This is a fantastic More ❯

. * Strong SQL and experience with data warehousing (Kimball methodology). * Programming skills in Python, Scala, or PySpark. * Familiarity with Power BI, SharePoint, and data integration technologies. * Understanding of DevOps, CI/CD, and cloud concepts (IaaS, PaaS, SaaS). * PowerShell scripting, containerisation, Semarchy MDM, NEC Housing, PL/SQL, and Total Mobile/Repairs solutions. In accordance with the More ❯

Primarily a Microsoft tech stack company we typically use the latest version of Visual Studio to develop in a V-Model/TDD environment, with a recent move towards DevOps and continuous integration. Our products embrace the full C# .Net stack including .Net Core for cross platform capabilities, WPF (MVVM) for user interfaces, Asp.Net MVC/Razor (MVVM)for display More ❯

. * Strong SQL and experience with data warehousing (Kimball methodology). * Programming skills in Python, Scala, or PySpark. * Familiarity with Power BI, SharePoint, and data integration technologies. * Understanding of DevOps, CI/CD, and cloud concepts (IaaS, PaaS, SaaS). * PowerShell scripting, containerisation, Semarchy MDM, NEC Housing, PL/SQL, and Total Mobile/Repairs solutions. In accordance with the More ❯

Go Proven experience with AWS and cloud infrastructure Expertise in building scalable, secure systems Comfortable working in a fast-moving, agile team Strong understanding of software engineering principles and DevOps practices Desirable: Experience with CI/CD, DevSecOps, or microservices architecture Exposure to ML pipelines or drone/UAS platforms Interest in national security, defence tech, or dual-use technologies More ❯

a solid understanding of how these fit into ML Ops pipelines and tools. Be able to design and implement MLOps solutions covering many different technologies. Desirable Skills Background in DevOps with exposure to CI systems, e.g. Jenkins Familiarity with infrastructure as code, e.g. Ansible Experience, aptitude, and a desire to work with human motion, sport, animation tools and techniques. Familiarity More ❯

Go * Proven experience with AWS and cloud infrastructure * Expertise in building scalable, secure systems * Comfortable working in a fast-moving, agile team * Strong understanding of software engineering principles and DevOps practices Desirable: * Experience with CI/CD, DevSecOps, or microservices architecture * Exposure to ML pipelines or drone/UAS platforms * Interest in national security, defence tech, or dual-use technologies More ❯

optimise assets, and support energy procurement. You'll work closely with the Tech Lead and support the full ML lifecycle - from training to deployment - using AWS SageMaker and modern DevOps practices. This is an engineering-focused role, not a mathematical modeling one. What Youll Do Build and maintain ML pipelines using SageMaker for training and deployment. Work with data scientists More ❯

use AWS) Knowledge of Linux systems including scripting and system configuration. Understanding of how ML tools fit into MLOps pipeline Desirable: Programming experience – ideally C++ or Java Background in DevOps – CI systems, Infrastructure-as-code Location – Oxford (Hybrid working 2 days a week onsite) Salary – Up to £75,000 Equal Opportunity Statement We are committed to providing equal consideration to More ❯

performance by performing network monitoring and analysis, and performance tuning; troubleshooting network problems. • Maintaining disaster recovery procedures and environment. • Supporting internal users if/when issues arise. • Familiarity with DevOps technologies. • Familiar with JIRA. • Knowledgeable with agile development practices. Required Education: B.S. Computer Science, Computer Engineering, Computer Information Systems, Computer Systems Engineering OR equivalent combination of education and experience. Optional More ❯

engineering related work in a multi-disciplinary, fast-paced, matrixed and cross-functional program in a resource intensive environment Demonstrated experience engineering and maintaining Continuous Integration deployment solutions using DevOps tools, such as Jenkins, CloudFormation, Nexus, Ansible, etc Experience using AWS technologies such as EC2, EBS, AMI, AWSCLI, CloudWatch, etc Excellent understanding of software development programming languages (Java, Python, Shell More ❯

contribute to Agile delivery practices Essential Skills Strong commercial experience with Python, TypeScript, SpaCy, and AWS (serverless) Background in OCR, NLP, and scalable automation architectures Solid understanding of Agile, DevOps, and XP practices Comfortable with stakeholder engagement and cross-functional collaboration AWS Textract, MLOps, PyTorch Kubernetes, Docker, OpenShift Fully remote £550 Per Day outside IR35 6 month contract (extension likely More ❯

transformation Hands-on experience with dbt , ETL development , and data warehousing best practices Comfortable with deploying infrastructure as code and building CI/CD pipelines (e.g., using GitHub, Azure DevOps) Ability to manage large, unstructured datasets and optimize data workflows Strong communicator who can translate complex technical ideas to business stakeholders Azure certifications (preferred but not required) Computing degree preferred More ❯

to non-technical stakeholders across the business. Senior Data Engineer - What will you need? * Extensive Data Warehouse Experience. * Proficiency in Azure: Azure Data Factory (ETL), Azure SQL Server, Azure DevOps, Key Vaults and Logic Apps. * Strong Data Modeling Skills. * Familiarity with CI/CD pipelines and agile workflows. * Experience integrating data from diverse sources, ensuring data accuracy and consistency throughout More ❯