401 to 425 of 2,288 Remote GCP Jobs

We work with some of the UK's biggest companies and government departments to provide a pragmatic approach to technology, delivering bespoke software solutions and expert advice. Our clients are increasingly looking to us to help them make the best More ❯

Join to apply for the Lead Data Engineer role at Scott Logic Join to apply for the Lead Data Engineer role at Scott Logic Get AI-powered advice on this job and more exclusive features. We work with some of More ❯

Role Overview This is a strategic and hands-on opportunity for an experienced Data Architect to lead the development of a robust, scalable data architecture on Google Cloud Platform (GCP). You’ll be responsible for defining the platform strategy, leading a team of data engineers, and ensuring high standards of data quality, compliance, and performance across enterprise-grade data … Key Responsibilities: Design and implement enterprise-level data architecture strategies on GCP. Gather client requirements and translate business challenges into scalable data solutions. Act as a trusted expert on GCP data and AI solutions, both internally and with client stakeholders Design and deliver scalable architectures across data lakes, pipelines, AI/ML models, and real-time analytics Work in collaboration … frameworks to drive project delivery and consistency Lead a team of data engineers through implementation phases, ensuring alignment to architectural best practices. Required Experience: Proven experience working with Google Cloud (GCP) on major data or AI transformation projects Proven track record in designing and maintaining large-scale data warehouses and data lakes. Expertise in GCP data services including BigQuery, Composer More ❯

Role Overview This is a strategic and hands-on opportunity for an experienced Data Architect to lead the development of a robust, scalable data architecture on Google Cloud Platform (GCP). You’ll be responsible for defining the platform strategy, leading a team of data engineers, and ensuring high standards of data quality, compliance, and performance across enterprise-grade data … Key Responsibilities: Design and implement enterprise-level data architecture strategies on GCP. Gather client requirements and translate business challenges into scalable data solutions. Act as a trusted expert on GCP data and AI solutions, both internally and with client stakeholders Design and deliver scalable architectures across data lakes, pipelines, AI/ML models, and real-time analytics Work in collaboration … frameworks to drive project delivery and consistency Lead a team of data engineers through implementation phases, ensuring alignment to architectural best practices. Required Experience: Proven experience working with Google Cloud (GCP) on major data or AI transformation projects Proven track record in designing and maintaining large-scale data warehouses and data lakes. Expertise in GCP data services including BigQuery, Composer More ❯

Social network you want to login/join with: Data Architect (GCP), london (city of london) col-narrow-left Client: Anson McCade Location: london (city of london), United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 2 Posted: 16.06.2025 Expiry Date: 31.07.2025 col-wide Job Description: Role : Data Architect (GCP) Location : London We are … Role Overview This is a strategic and hands-on opportunity for an experienced Data Architect to lead the development of a robust, scalable data architecture on Google Cloud Platform (GCP). You’ll be responsible for defining the platform strategy, leading a team of data engineers, and ensuring high standards of data quality, compliance, and performance across enterprise-grade data … frameworks to drive project delivery and consistency Lead a team of data engineers through implementation phases, ensuring alignment to architectural best practices. Required Experience: Proven experience working with Google Cloud (GCP) on major data or AI transformation projects Proven track record in designing and maintaining large-scale data warehouses and data lakes. Expertise in GCP data services including BigQuery, Composer More ❯

Science, Information Technology, or a related field. Experience: 15+ years of experience in data architecture, data warehousing, and big data solutions. 5+ years of experience working in Cloud AWS, GCP or Azure. 5+ years of experience working in modern cloud data platforms (Databricks, Redshift, BigQuery, Synapse, SAP Datasphere, and Snowflake.) 5+ years of experience designing Cloud Infrastructure on AWS, GCP More ❯

date with emerging trends in the Data and AI space, contributing to internal innovation and capability development. Candidate Profile Experience designing enterprise data solutions on the Google Cloud Platform (GCP) Enterprise data modelling experience Proven experience leading and developing high-performing teams Experience in the banking domain (e.g. commercial, investment, or retail banking) Experience with DevOps tools (e.g. Terraform, Azure More ❯

date with emerging trends in the Data and AI space, contributing to internal innovation and capability development. Candidate Profile Experience designing enterprise data solutions on the Google Cloud Platform (GCP) Enterprise data modelling experience Proven experience leading and developing high-performing teams Experience in the banking domain (e.g. commercial, investment, or retail banking) Experience with DevOps tools (e.g. Terraform, Azure More ❯

date with emerging trends in the Data and AI space, contributing to internal innovation and capability development. Candidate Profile Experience designing enterprise data solutions on the Google Cloud Platform (GCP) Enterprise data modelling experience Proven experience leading and developing high-performing teams Experience in the banking domain (e.g. commercial, investment, or retail banking) Experience with DevOps tools (e.g. Terraform, Azure More ❯

Cloudformation, Terraform) A strong understanding of both serverless development and containerisation approaches to deploying software to the cloud Having in-depth knowledge of at least one cloud platform (e.g. GCP, AWS, Azure), including an understanding of appropriate technologies for a given use case. Experience writing enterprise quality solutions, with extensive experience and familiarity with how enterprise software solutions fit into More ❯

re ready to navigate the digital security realm. Key Responsibilities: Act as the primary technical authority in securing and ensuring compliance across various Public Cloud platforms (AWS, Azure, Google Cloud Platform, and other cloud platforms), collaborating with clients to meet their specific needs. Deliver comprehensive technology solutions via consulting projects-from identifying problems to deploying solutions-while maintaining effective client More ❯

plugins Understanding of SDLC frameworks, SALSA, and SBOMs Desired Attributes Continuous improvement mindset and attention to detail Positive attitude and good communication skills Automation-focused approach Technologies Used Google Cloud Platform GKE with Anthos Service Mesh Confluent Cloud, Incident.io, Gitlab Jira, Confluence, Slack, Teams Elastic APM, Kibana Java, Node.js, Python, Javascript, Go, React About Rightmove Our vision is to empower More ❯

Sportserveforms part of a remarkable group of B2C sports betting and B2B sportsbook technology companies, focused on delivering first class sports betting experiences and casino products for our users worldwide. Along with Sportion, TechSpirit, Standard Focus and Sportelligent, we are More ❯

processes and documentation for system design, troubleshooting and maintenance What are we looking for? Strong experience with a cloud provider (AWS preferred but we're open to Azure and GCP) Use of Terraform as infrastructure as code Comfortable using Python/Golang as a programming language Experience around building and maintaining production-grade Kubernetes clusters Knowledge of security best practices More ❯

Private Cloud Engineering Lead page is loaded Private Cloud Engineering Lead Apply locations Leeds Wellington Place London 125 London Wall Manchester Westminster House time type Full time posted on Posted 2 Days Ago time left to apply End Date: July More ❯

End Date Tuesday 08 July 2025 Salary Range £124,653 - £146,650 We support flexible working – click here for more information on flexible working options Flexible Working Options Hybrid Working, Job Share Job Description Summary . Job Description JOB TITLE More ❯

Responsibilities Design and implement cloud architecture for our organization Ensure scalability, security, and high availability of our cloud systems Collaborate with development team to integrate applications with cloud infrastructure Develop and implement cloud migration strategies Ensure compliance with industry standards More ❯

and regulatory standards Lead architectural reviews and provide technical guidance on cloud solutions Stay current with emerging cloud technologies and advise on adoption strategies Use tools like AWS, Azure, GCP, Terraform, Kubernetes, Docker, Jenkins, Ansible , and others Requirements Minimum Bachelors degree in Computer Science, Information Systems, or a related field Proven experience as a Cloud Architect or similar senior cloud … infrastructure role (minimum 1 year ) Deep knowledge of cloud platforms (AWS, Azure, or GCP) and their core services Proficiency with infrastructure as code (Terraform, CloudFormation, etc.) Experience designing and securing distributed systems at scale Familiarity with CI/CD , containerization , and cloud cost optimization strategies Bonus: Certifications such as AWS Certified Solutions Architect, Azure Architect Expert, or GCP Professional Cloud More ❯

experience deploying and managing Kubernetes clusters ☸️. Experience leading or delivering complex technical implementations. Familiarity with containerization technologies such as Docker. Solid understanding of cloud platforms – AWS, Azure, or GCP ☁️. Proficiency with Infrastructure-as-Code tools – Terraform, Ansible, Helm Scripting and automation skills – Python, Bash, PowerShell , etc. Good understanding of networking fundamentals – DNS, DHCP, firewalls. Excellent communication skills – able More ❯

Join to apply for the Senior Cloud Consultant (AWS) role at Frazer-Nash Consultancy 2 weeks ago Be among the first 25 applicants Join to apply for the Senior Cloud Consultant (AWS) role at Frazer-Nash Consultancy Title Senior Cloud More ❯

Software Engineer (Cloud) Position Description CGI was recognised in the Sunday Times Best Places to Work List 2025 and has been named one of the 'World's Best Employers' by Forbes magazine. We offer a competitive salary, excellent pension, private More ❯

Job Title: Node.JS Developer Duration: long-term contract Location: Hybrid (London Based) Key Skills: Node.js, Microservices, Google Cloud Platform (GCP), Kubernetes, DevOps, API Gateway, Docker, Express.js, TypeScript, ES6+ Job Description: We’re looking for a highly skilled Node.js Developer to join our dynamic, cloud-native team. You will be responsible for designing, developing, and deploying scalable backend services using cutting … Proficiency with TypeScript and modern ES6+ JavaScript features Hands-on experience with Docker and Kubernetes for container orchestration and service management Familiarity with API Gateway platforms (e.g., APIGee, Mulesoft, GCP Endpoints) Exposure to Google Cloud Platform (GCP) services (e.g., Cloud Functions, Pub/Sub, IAM) Experience with DevOps tools and CI/CD pipelines: GitHub/GitLab, Terraform, CLI, Ansible More ❯

Job Title: Node.JS Developer Duration: long-term contract Location: Hybrid (London Based) Key Skills: Node.js, Microservices, Google Cloud Platform (GCP), Kubernetes, DevOps, API Gateway, Docker, Express.js, TypeScript, ES6+ Job Description: We’re looking for a highly skilled Node.js Developer to join our dynamic, cloud-native team. You will be responsible for designing, developing, and deploying scalable backend services using cutting … Proficiency with TypeScript and modern ES6+ JavaScript features Hands-on experience with Docker and Kubernetes for container orchestration and service management Familiarity with API Gateway platforms (e.g., APIGee, Mulesoft, GCP Endpoints) Exposure to Google Cloud Platform (GCP) services (e.g., Cloud Functions, Pub/Sub, IAM) Experience with DevOps tools and CI/CD pipelines: GitHub/GitLab, Terraform, CLI, Ansible More ❯

Lab 2: Security Operations (Data Loss Management) Every day will bring something new. In these roles, you'll get to: Design, build, and manage secure infrastructure across Azure and GCP Use Infrastructure as Code (Terraform) to implement and maintain security controls Automate security processes with scripting and APIs Use native tools and analytics to improve cloud & data security posture Collaborate … we'd love to hear from you: Microsoft Azure or Google Cloud Platform (GCP) Terraform (Infrastructure as Code) Git (version control) Security & Compliance Cloud posture management (Azure Defender for Cloud, GCP SCCE) Data Loss Prevention/Data Security Posture Management (DSPM) Scripting & Automation Python (our preferred scripting language) Configuration as Code principles API integration (e.g., Microsoft Graph API) IN ADDITION … THE BELOW WOULD BE NICE TO HAVE (DEPENDING ON THE TEAM) Lab 1: Cloud Enterprise and Computer Security Data & Analytics (KQL/SQL or BigQuery for GCP) Power Platform and PowerShell Lab 2: Security Operations SIEM management Advanced logging DLP technical policy development Ability to build and train machine learning models to address business needs Power Platform and PowerShell WORKING More ❯

use of Kimball Dimensional and One Big Table (OBT) methodologies. • Translate business requirements from stakeholders into robust, well-documented and tested dbt models. • Develop and own workflows within Google Cloud Platform environments, primarily using BigQuery and dbt. • Write high-quality, optimised SQL for data transformation and analysis. • Develop and maintain scalable data pipelines within the Google Cloud Platform, ensuring efficient … models with dbt. • A strong understanding of data warehousing concepts and data modelling techniques (e.g., Kimball, Dimensional Modelling, One Big Table). • Solid, hands-on experience within the Google Cloud Platform, especially with BigQuery. • Proven experience working directly with business stakeholders to translate their needs into technical specifications and data models. • Familiarity with version control (Git) and CI/CD … workflows for analytics. • Experience with agile principles and practices The "Nice to Haves": • Certification in dbt or Google Cloud Platform or related technologies. • Experience with other cloud platforms (e.g. AWS, Azure, Snowflake) and data warehouse/lakehouse technologies (e.g. Redshift, Databricks, Synapse) • Knowledge of distributed big data technologies. • Proficiency in Python. • Familiarity with data governance and compliance frameworks. Your characteristics More ❯