101 to 125 of 487 DevOps Jobs in London

Azure ADLSv2, or through a Lakehouse capability Experience in managing API-level and Database connectivity Experience using source control and DevOps tooling such as Gitlab Experience in use of terraform (or similar cloud native products) to build new data & analytics platform capabilities Experience with developing data features and associated transformation

least 1 year on Microsoft cloud technologies. Strong hands-on experience with Microsoft Fabric, especially around data engineering and warehousing workflows. Familiarity with Azure DevOps for CI/CD and deployment. Expertise in SQL, Python, PowerShell, DAX and M. Solid understanding of the modern data engineering lifecycle and best practices.

least 1 year on Microsoft cloud technologies. Strong hands-on experience with Microsoft Fabric, especially around data engineering and warehousing workflows. Familiarity with Azure DevOps for CI/CD and deployment. Expertise in SQL, Python, PowerShell, DAX and M. Solid understanding of the modern data engineering lifecycle and best practices.

React. Ability to deliver complex work on time and within budget. Hands-on experience with CI/CD pipelines and infrastructure-as-code; Azure DevOps and Azure experience are preferred. Solid understanding of current and emerging technologies. Ability to translate business strategy and requirements into technical designs. Experience with C#

within the CDP. Collaborate with cross-functional teams to translate business requirements into technical solutions. Automate data ingestion, transformation, and testing processes aligned with DevOps best practices. Implement data quality frameworks and validation tests to ensure accuracy and reliability. Contribute to the ongoing evolution of the platform, including real-time

proactive, problem-solving mindset Bonus Points For Experience with Airflow and/or dbt Experience working in Agile environments (Scrum/Kanban) Exposure to DevOps practices or CI/CD pipelines You'll join a business that values innovation, collaboration, and continuous learning, with a culture that champions autonomy

architectures in Google Cloud Platform (GCP) and Google Distributed Cloud (GDC) environments. Working within disconnected environments on data-severing solutions. Collaborating closely with engineering, DevOps, and security teams to ensure seamless integration from design through delivery. Implementing automation and Infrastructure as Code (IaC) for repeatable, auditable deployments. Providing technical leadership

architectures in Google Cloud Platform (GCP) and Google Distributed Cloud (GDC) environments. Working within disconnected environments on data-severing solutions. Collaborating closely with engineering, DevOps, and security teams to ensure seamless integration from design through delivery. Implementing automation and Infrastructure as Code (IaC) for repeatable, auditable deployments. Providing technical leadership

with Azure Synapse Analytics or Cosmos DB. Familiarity with data governance frameworks (e.g., GDPR, HIPAA). Experience implementing CI/CD pipelines using Azure DevOps or GitHub. Understanding of real-time data streaming tools (e.g., Azure Event Hubs). Role details: Job role: Azure data engineer Job type: Contract IR35

performance optimisation Contribute to containerised deployments (Docker/Kubernetes) - experience in this area is desirable, not essential Operate within Agile teams and support DevOps practices What We're Looking For Proven experience as a Data Engineer in complex environments Strong proficiency in PostgreSQL and either Airflow or Spark Solid understanding

security and Microsoft Fabric components such as Dataflows, Lakehouse, Pipelines or Synapse and familiarity with Azure Data Factory, Git, CI/CD, and modern DevOps practices. You’ll also be a confident communicator able to influence and collaborate with both technical and non-technical colleagues. Ideally, you will have experience

establishing and maintaining controls for risk and quality Defect tracking and reporting tools, Risk Analysis and Static Techniques, Test Design Techniques Knowledge of DevOps principles will be needed to test support/maintenance implementations Accountable for the effective creation, measurement and control of the test strategy within the ASP Team

legacy PHP!), you'll be encouraged to explore new technologies and use the best tool for the job as well as own your own DevOps and deployment. There's an emphasis on getting stuff done and immediate business impact, alongside longer term strategy. Location/WFH: There's a hybrid

have most, if not all the following: Experience as a Senior Data Engineer or similar Strong knowledge of Azure Cloud architecture and Azure Databricks, DevOps and CI/CD. Experience with PySpark, Python, SQL and other data engineering development tools. Experience with metadata driven pipelines and SQL serverless data warehouses.

have most, if not all the following: Experience as a Senior Data Engineer or similar Strong knowledge of Azure Cloud architecture and Azure Databricks, DevOps and CI/CD. Experience with PySpark, Python, SQL and other data engineering development tools. Experience with metadata driven pipelines and SQL serverless data warehouses.

where appropriate. Manage and resolve technical issues that arise during the development and deployment phases, ensuring minimal disruption to project timelines. Work closely with DevOps teams to ensure seamless integration and continuous delivery of solutions. Support pre-sales activities by providing technical expertise, solution demonstrations, and contributing to proposal development.

have most, if not all the following: Experience as a Senior Data Engineer or similar Strong knowledge of Azure Cloud architecture and Azure Databricks, DevOps and CI/CD. Experience with PySpark, Python, SQL and other data engineering development tools. Experience with metadata driven pipelines and SQL serverless data warehouses.

cloud platform development (including Azure, AWS, GCP, Snowflake or Databricks) Strong proficiency in SQL and Python. Proven experience with CI/CD tools, DevOps, and automation practices. Solid understanding of data modelling, orchestration, and workflow management. A desire to lead by example and elevate the people around you. The Opportunity

frameworks for AI-generated code, agent behavior, prompts, and model outputs, including monitoring for anomalies and compliance risks. Cross-Functional Collaboration: Work closely with DevOps, Security, Product, and Business teams to drive rapid, safe integration of agentic and generative AI features into enterprise systems. Essential Qualifications Bachelor's or Master

frameworks for AI-generated code, agent behavior, prompts, and model outputs, including monitoring for anomalies and compliance risks. Cross-Functional Collaboration: Work closely with DevOps, Security, Product, and Business teams to drive rapid, safe integration of agentic and generative AI features into enterprise systems. Essential Qualifications Bachelor's or Master

Experience with REST/SOAP APIs, integration tools, and middleware platforms (e.g., Mulesoft - desirable). Understanding of Salesforce security and data models. Familiarity with DevOps processes, version control, and CI/CD in a Salesforce environment. Strong problem-solving and communication skills, with the ability to work effectively in collaborative

powered tools for test generation, defect triage, and visual diffing. Collaborative, self-driven, comfortable working in Agile teams using Jira or Azure DevOps, and confident in constructively challenging decisions. It would be great if you had Experience testing high-traffic consumer-facing applications Familiarity with TDD , BDD , NoSQL , performance

experience adapting them to large-scale programmes. Experience managing cross-functional, multi-regional, multi-supplier teams. Proficiency with project management tools such as Azure DevOps, and ServiceNow PPM. Excellent stakeholder management, communication, and leadership skills with proven experience of operating with C-suite. Relevant professional certifications (Certified Scrum Management, SAFe

Inside IR35) Sector: IT Contract Length: 12 months Overview Our client, a well-established software development company, is seeking an experienced Azure DevOps Engineer to join their team on a 12-month contract. This is a hybrid role, primarily remote, with occasional onsite collaboration in Canary Wharf, London. The successful … clear and comprehensive technical documentation to support ongoing operations Collaborate with stakeholders to ensure compliance with client governance frameworks Support continuous improvement initiatives across DevOps processes and tooling Required Experience Proven track record in Azure cloud engineering and DevOps practices Strong background in Linux VM administration and automation Hands

Senior DevOps Engineer Central London (3 days per week in the office) Entertainment industry | 100+ employees £85,000 - £90,000 + benefits You’ll be joining one of London’s most exciting entertainment brands - a creative, fast-moving business with over 100 people and a growing in-house engineering function … that supports everything from digital production systems to cloud infrastructure powering live experiences. They’re building out their DevOps capability to bring more structure, scalability, and automation into their cloud environment, and they’re looking for a Senior DevOps Engineer who’s hands-on, collaborative, and thrives in a modern