1 to 25 of 1,263 GCP Jobs in the UK excluding London

Role: GCP Data Engineer Location: London (Hybrid Flexibility) Salary: Up to £80,000 + Bonus & Benefits We are working with a global technology leader renowned for designing, building, and modernizing mission-critical systems that power some of the world's most vital operations. As part of their continued growth, they … are seeking an experienced GCP Data Engineer to join their collaborative, cross-functional team in London. The Role – GCP Data Engineer As a GCP Data Engineer , you will play a pivotal role in shaping data platforms across a range of cloud environments, with a strong focus on Google Cloud Platform … applications Provide technical guidance and training to users and internal teams Required Experience Proven track record of delivering large-scale data platforms using Google Cloud Platform Hands-on experience with GCP tools: BigQuery, Dataform, Dataproc, Composer, Pub/Sub Strong programming skills in Python, PySpark , and SQL Deep understanding of More ❯

days a week minimum in Kings Cross London. We are seeking a skilled Site Reliability Engineer with a strong focus on Google Cloud Platform (GCP) to join our dynamic team. In this role, you’ll be responsible for maintaining cloud infrastructure, managing incidents, and ensuring seamless operations for our clients. … to manage and resolve support requests efficiently. Qualifications 8-10 years of experience managing applications and infrastructure performance. Proven experience with Google Cloud Platform (GCP) services. Familiarity with incident.io for incident tracking and management (of equivalent) Proficiency in using JIRA for task management and support workflows. Strong experience working with … performance optimisation best practices. Knowledge of scripting or automation tools (e.g., Python, Terraform) is a plus. Excellent communication and customer service skills. Certifications in GCP (Professional certifications) are highly desirable. Ability to work under pressure and prioritise tasks effectively. Bachelor’s degree in Computer Science, Information Technology, or related field More ❯

Contract Data Analyst (Looker BI) Introduction: My client is a fast-growing Google Cloud Platform (GCP) Partner based in Glasgow, specialising in delivering advanced data and analytics solutions to clients within the Financial Services sector. Their mission is to empower financial organisations with cutting-edge cloud technology, enabling smarter, faster … high data quality through validation, testing, and troubleshooting data inconsistencies. Partnering with engineering and cloud teams to ensure data pipelines and models align with GCP infrastructure best practices. Skills & Experience: Proven commercial experience as a Data Analyst (4+ years) Strong hands-on experience with Looker, including dashboard creation, data modelling … LookML), and report development. Advanced SQL skills and ability to work with large, complex datasets. Experience working with Google Cloud Platform (GCP), particularly BigQuery. Ability to present data insights clearly to non-technical audiences. Experience working as a Data Analyst in the Financial Services sector (desirable) Familiarity with Git or More ❯

Node, Java, and with the use of IaC tools such as Terraform. Familiarity with product development for cloud environments such as AWS, Azure or GCP, and related technologies (e.g. Kubernetes, Docker and serverless). Experience with unit, integration, and end to end testing tools and practices (e.g. Jest, Cypress, Backstop More ❯

Amazon CodeWhisperer) and integrating large language models (LLMs) and AI APIs. Deep understanding of microservices architecture, Model Context Protocol, API design, and cloud platforms (GCP, Azure). Skilled in containerisation and orchestration (Docker, Kubernetes), version control (Git, BitBucket), and CI/CD pipelines. Strong foundation in software design patterns, data More ❯

GraphQL, WebSockets, and authentication mechanisms (OAuth, JWT). Experience with relational and NoSQL databases (e.g., PostgreSQL, MongoDB, Redis). Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes). Strong grasp of software design principles, testing frameworks, and DevOps practices. Excellent problem-solving, communication, and collaboration More ❯

languages such as Python and SQL Familiarity with scripting for automation and process optimisation Knowledge of cloud environments like Microsoft Azure, AWS or Google Cloud Platform Experience with cloud-native data tools (e.g. Databricks, AWS Glue, Google Big Query) Experience in supporting BI tools like Tableau, Power BI, or Looker More ❯

management systems. Experience with Atlassian Jira, Confluence, and Agile methodologies. Solid understanding of Linux systems and DevOps tools. Experience with cloud platforms (AWS, Azure, GCP), microservices, and distributed systems. Strong knowledge of DevOps best practices, including CI/CD, containerization (Docker, Kubernetes), and telemetry monitoring. Familiarity with Docker, Intel & ARM More ❯

Proficiency in Python for data pipelines, distributed systems and micro-services. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker) and infrastructure-as-code software (e.g., Terraform). Algorithms and data structures: Excellent understanding of core CS More ❯

across a range of tooling in the following areas: Programming: with at least one language; Go, Java, Python, Ruby, TypeScript etc Cloud: Either AWS, GCP, Azure Container/Orchestration: Docker, Kubernetes IAC: Terraform, Cloud Formation, CrossPlane, Ansible (Config Mgt) CI/CD: CircleCI, GitHub Actions, Jenkins, etc The Role: Hands More ❯

Apache JMeter, mabl, Testim.io, Testsigma, Selenium, Gatling, LoadRunner, Searchlight Knowledge of Apache Kafka, Kubernetes, Docker, GraphQL Experience with cloud platforms like Azure, AWS, or GCP, and data processing Familiarity with CI/CD pipelines and DevOps tooling GitHub proficiency Strong organizational, analytical, problem-solving, and communication skills Comfort working with More ❯

BPMN, DMN, and CMMN standards. Hands-on experience with Java, Spring Boot, REST APIs, and microservices architecture. Familiarity with Kafka, cloud platforms (AWS/GCP/Azure), and containerization (Docker/Kubernetes). Strong leadership, analytical, and communication skills. Experience mentoring development teams and driving technical excellence. Experience supporting pre More ❯

Science, Computer Engineering, or other related discipline. Preferred Qualification: Experience in messaging and streaming technologies such as Kafka. Experience with Cloud solutions (AWS, Azure, GCP) Experience with CI/CD pipelines (e.g. Jenkins, GitHub Actions) We would love to discuss how this opportunity aligns with your experience and career goals. More ❯

Science, Computer Engineering, or other related discipline. Preferred Qualification: Experience in messaging and streaming technologies such as Kafka. Experience with Cloud solutions (AWS, Azure, GCP) Experience with CI/CD pipelines (e.g. Jenkins, GitHub Actions) We would love to discuss how this opportunity aligns with your experience and career goals. More ❯

Nexus, SonarQube, and AquaSec Excellent problem solving and analytical skills to resolve complex technical issues and bugs Experience working with Private/Public Cloud (GCP, Azure, and OpenShift) A strong grasp of the software development lifecycle, from inception through build to production Familiarity with development aiding tools like NPM and More ❯

Nexus, SonarQube, and AquaSec Excellent problem solving and analytical skills to resolve complex technical issues and bugs Experience working with Private/Public Cloud (GCP, Azure, and OpenShift) A strong grasp of the software development lifecycle, from inception through build to production Familiarity with development aiding tools like NPM and More ❯

Nexus, SonarQube, and AquaSec Excellent problem solving and analytical skills to resolve complex technical issues and bugs Experience working with Private/Public Cloud (GCP, Azure, and OpenShift) A strong grasp of the software development lifecycle, from inception through build to production Familiarity with development aiding tools like NPM and More ❯

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). Capgemini More ❯

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). Capgemini More ❯

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). Capgemini More ❯

services & understanding of API Gateways (e.g. APIGEE). Building applications utilising container technologies e.g. Docker. Managing application deployed to Kubernetes clusters, Istio & Helm. Cloud: GCP, GKE, IaC (Terraform). Build Tools & DevOps principles: Git, Maven, Jenkins CI/CD, Nexus, SonarQube. SQL/NoSQL database, Basic Unix/Linux Skills More ❯

services & understanding of API Gateways (e.g. APIGEE). Building applications utilising container technologies e.g. Docker. Managing application deployed to Kubernetes clusters, Istio & Helm. Cloud: GCP, GKE, IaC (Terraform). Build Tools & DevOps principles: Git, Maven, Jenkins CI/CD, Nexus, SonarQube. SQL/NoSQL database, Basic Unix/Linux Skills More ❯

Proficiency in Python for data pipelines, distributed systems and micro-services. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker) and infrastructure-as-code software (e.g., Terraform). Algorithms and data structures: Excellent understanding of core CS More ❯

Addepar, NetSuite, Salesforce, and other external and internal applications. Manage cloud-based data infrastructure on platforms such as Azure, Amazon Web Services, or Google Cloud Platform, with focus on cost optimization, stability, scalability, and performance. Collaborate with business analytics and data science teams to ensure data environments are optimized for More ❯

functionality using technologies like Lucene, Solr, or OpenSearch Collaborate with Data Engineers to design and deliver data pipelines Leverage cloud platforms (AWS, Azure, or GCP) for scalable and resilient processing Participate in code reviews, pair programming, and mentoring team members Support system reliability and ensure smooth operation of production environments More ❯