101 to 125 of 2,071 Google Jobs in England

analysis tools (such as Pandas or SQL) for processing high‐volume security telemetry and creating sophisticated automation triggers Additional Preferred Qualifications: Experience with Google SecOps platform and familiarity with integrating Agentic AI and Large Language Models into security workflows for enhanced automation and decision‐making Advanced knowledge of identity ...

workflow automation, Virtual Agent, Predictive Intelligence, Now Assist, AI Agents, IntegrationHub, or Flow Designer. Exposure to cloud platforms such as AWS, Microsoft Azure, or Google Cloud. Familiarity with Model Context Protocol (MCP) concepts, secure API integration patterns, or connecting AI applications to enterprise tools and data sources. Experience working ...

partner or as part of a delivery/technical consulting team in a software company.* Experience with large data such as Snowflake, Databricks, AWS, Google Cloud Storage/Big Query, Azure administration or architecture* Experience with Customer Data platforms such as Segment, Tealium, Adobe Experience Platform, Amperity, Treasure Data, Twilio ...

pipelines would be beneficial. • Experience with MuleSoft or other integration platforms and enterprise data platforms such as Snowflake, Databricks, Azure Data Lake, AWS or Google Cloud would be advantageous. • Understanding of batch ingestion, streaming ingestion, data federation, zero-copy, data sharing and near real-time activation patterns would be beneficial. ...

pipelines would be beneficial.• Experience with MuleSoft or other integration platforms and enterprise data platforms such as Snowflake, Databricks, Azure Data Lake, AWS or Google Cloud would be advantageous.• Understanding of batch ingestion, streaming ingestion, data federation, zero-copy, data sharing and near real-time activation patterns would be beneficial. ...

pipelines would be beneficial. • Experience with MuleSoft or other integration platforms and enterprise data platforms such as Snowflake, Databricks, Azure Data Lake, AWS or Google Cloud would be advantageous. • Understanding of batch ingestion, streaming ingestion, data federation, zero-copy, data sharing and near real-time activation patterns would be beneficial. ...

pipelines would be beneficial. • Experience with MuleSoft or other integration platforms and enterprise data platforms such as Snowflake, Databricks, Azure Data Lake, AWS or Google Cloud would be advantageous. • Understanding of batch ingestion, streaming ingestion, data federation, zero-copy, data sharing and near real-time activation patterns would be beneficial. ...

pipelines would be beneficial. • Experience with MuleSoft or other integration platforms and enterprise data platforms such as Snowflake, Databricks, Azure Data Lake, AWS or Google Cloud would be advantageous. • Understanding of batch ingestion, streaming ingestion, data federation, zero-copy, data sharing and near real-time activation patterns would be beneficial. ...

What You’ll Work With AI coding tools (e.g. GitHub Copilot, Claude Code, Cursor) as the primary development workflow AWS today, with Azure and Google Cloud planned Infrastructure as code: AWS CDK and CloudFormation CI/CD with CircleCI and internal developer tooling Docker and production image pipelines Deployment tooling ...

Advanced: Architect, or Microsoft Certified: Fabric Data Engineer Associate/Fabric Analytics Engineer Associate. Experience with major cloud data services on Azure, AWS or Google Cloud. Knowledge of streaming platforms such as Apache Kafka or cloud‐native equivalents. Familiarity with BI and semantic tooling, such as Power BI semantic models ...

Advanced: Architect, or Microsoft Certified: Fabric Data Engineer Associate/Fabric Analytics Engineer Associate. Experience with major cloud data services on Azure, AWS or Google Cloud. Knowledge of streaming platforms such as Apache Kafka or cloud-native equivalents. Familiarity with BI and semantic tooling, such as Power BI semantic models ...

Associate/Microsoft Certified: Fabric Analytics Engineer Associate (DP-600) Microsoft Certified: Azure AI Engineer Associate (AI-102) or AWS Certified Machine Learning - Speciality Google Professional Data Engineer or Professional Machine Learning Engineer Certification or demonstrable expertise in agile delivery or architecture frameworks is desirable: SAFe, Scrum (PSM/ ...

interaction with the infrastructure, security engineering, cross-cutting and compliance teams. As a GCP Security Engineer, you will: Collaborate with stakeholders to define our Google Cloud security architecture (cloud identity, runtime security, security posture) Design, document, build and maintain a secure and scalable infrastructure on GCP using Infrastructure as Code ...

Head of Sales, Agentic Data Cloud, Google Cloud Share Head of Sales, Agentic Data Cloud, Google Cloud corporate_fare Google place London, UK Bachelor's degree or equivalent practical experience. 12 years of experience in quota-carrying cloud or software sales, or consultative account management at a B2B software company. … multi-year account strategies. Experience in performance management and business cycles, coaching for high-performance, and ensuring delivery against goals. About the job The Google Cloud Platform team helps customers transform and build what's next for their business - all with technology built in the cloud. Our products are developed ...

Google for Education Digital Transformation Lead, EMEA Share Google for Education Digital Transformation Lead, EMEA corporate_fare Google place London, UK Bachelor's degree in Education or equivalent practical experience. 5 years of experience in educational technology. Experience managing end-to-end program roadmaps and leading cross-functional teams. Preferred … qualifications: Experience in education, instructional design, or change management. Understanding of Google for Education solutions (Gemini, ChromeOS and Google Workspace for Education) and educational technology trends in the region. Track record of defining program metrics/OKRs, tracking active product adoption, and leveraging analytics to drive program success. Demonstrated authority ...

based in Brighton, UK. We work with organizations to modernise and scale their data analytics capabilities based on a modern data stack based on Google Cloud and other partner technology. We work with our clients to design, build and support innovative analytics solutions that empower end users to answer their … scoping projects and delivering those projects either on your own or as the lead in a small team. Successful candidates will bring experience with Google Cloud, our strategic technology partner, along with modern data stack technologies such as dbt, Looker, Fivetran, Segment and Cube. Ideally you'll already have ...

cloud platform updates and new services Requirements 7+ years of IT experience with 4+ years in cloud architecture Expert knowledge of Azure, AWS, or Google Cloud Platform Experience with containerization (Docker, Kubernetes) Cloud certifications (Azure Solutions Architect, AWS SA Professional) Experience with DevOps practices and CI/CD pipelines Excellent ...

experience with modern DevOps tooling, including CI/CD platforms such as Jenkins or GitLab Experience working with cloud platforms (AWS, Azure or Google Cloud) Knowledge of containerisation technologies including Docker and Kubernetes Experience with Infrastructure-as-Code tools such as Terraform or Ansible Ability to thrive in a collaborative ...

team models). Nice to Have ✔️ Experience with predictive analytics/big data processing. Familiarity with Atlassian stack (Jira, Confluence) and collaboration tools (Miro, Google Docs, Slack). Knowledge of test automation strategies ad CICD quality control tooling. Previous experience contribution to communities of practice or technical talks. About ...

within a consultancy and/or industry environment Technical Skills You'll have experience with some of the following: Cloud & Data Platforms: AWS, Azure, Google Cloud Platform, Databricks Programming Languages: Python, R, PySpark Agentic & GenAI Platforms: Microsoft Copilot Studio, OpenAI GPT-5 Agents, UiPath, Adept AI, Orby AI, Beam ...

container technologies, including core Kubernetes concepts Demonstrated eagerness to learn and grow within cloud-native platform engineering on a major cloud provider such as Google Cloud, Amazon Web Services, or Microsoft Azure Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding ...

Reliability, or Infrastructure Engineering role. Strong hands-on experience with Kubernetes, Linux, and Bash scripting. Experience working with cloud platforms such as Azure, AWS, Google Cloud, or OpenStack. Proven experience with Infrastructure as Code tools, including Terraform and Ansible. Experience designing, maintaining, and testing backup and disaster recovery processes. Solid ...

Technical Delivery Lead to drive the engineering and technical strategy for a scalable, multi-tenant data integration platform built on Apache Airflow and Google Cloud. In this role, you will lead the delivery of production-grade data pipelines and cloud solutions, working closely with cross-functional teams to align technical ...

partner or as part of a delivery/technical consulting team in a software company. Experience with large data such as Snowflake, Databricks, AWS, Google Cloud Storage/Big Query, Azure administration or architecture Experience with Customer Data platforms such as Segment, Tealium, Adobe Experience Platform, Amperity, Treasure Data, Twilio ...

explain technical concepts clearly and build effective relationships with a range of stakeholders. Experience of working with cloud platforms such as AWS, Azure or Google Cloud, applying modern DevOps and SRE practices. Experience designing and delivering infrastructure-as-code solutions using tools such as Terraform, CloudFormation or similar. Ability ...