101 to 125 of 2,316 Google Jobs in England

Broad experience with data governance, data quality, master data management, and regulatory requirements. Key Skills: Advanced knowledge of cloud data platforms: Azure, AWS, and Google Cloud Platform (GCP). Strong experience with data warehousing, data lakes, and lakehouse architectures. Hands-on experience with SQL and at least one programming language ...

delivery, product feedback, production support and engineering quality. Experience operating SaaS platforms built on managed Kubernetes services such as Amazon EKS, Azure AKS or Google GKE. Strong understanding of GitOps tooling such as Argo CD, Flux or equivalent deployment automation approaches. Experience with ISO 27001, SOC 2 or similar assurance ...

microservices, with experience creating developer tooling or shared engineering platforms that improve engineering productivity. Practical experience with cloud platforms such as AWS, Azure or Google Cloud Platform, and experience implementing quality metrics, reporting dashboards and visualisation tools to measure software quality. Excellent analytical and problem-solving skills, with proven ability ...

culture of excellence with competitive compensation packages designed to recognize and reward performance.Our employees work with the largest cloud providers, including AWS, Microsoft, and Google Cloud, and other leading partners worldwide to create strategic alliances.You'll get to work at the forefront of innovation with Dynatrace Intelligence—the industry ...

operations. PreferredExperience at a Big 4 or top-tier consulting firm. Familiarity with WWT's core technology partners — Cisco, Dell, NetApp, VMware, AWS, Microsoft, Google, Palo Alto, F5 and others. Industry expertise in sectors such as energy, healthcare, financial services or service provider. Advanced degree (MBA, MS) or relevant certifications ...

Analytics Specialty, Databricks Certified Associate Developer, AWS Solutions Architect Associate) AI or ML engineering certifications (e.g. Databricks Generative AI Engineer, AWS Machine Learning Specialty, Google Professional ML Engineer) What’s in it for you At Accenture, in addition to a competitive basic salary, you will also have an extensive benefits ...

Models (TOMs), operating frameworks, and organisational capabilities to support sustainable business change. Understanding of modern cloud and digital platforms, including AWS, Microsoft Azure, and Google Cloud, and their role within enterprise transformation initiatives. Proven experience establishing architecture governance, assurance frameworks, and decision-making processes that drive consistency, compliance, and effective ...

degree in Computer Science, Engineering, Mathematics, Data Science or related discipline, or equivalent depth through relevant professional certifications (e.g. AWS Solutions Architect Professional, Google Professional ML Engineer). Prior experience as a forward‐deployed or embedded engineer within a client environment; exposure to regulated industries such as energy, financial services ...

Analytics Specialty, Databricks Certified Associate Developer, AWS Solutions Architect Associate) AI or ML engineering certifications (e.g. Databricks Generative AI Engineer, AWS Machine Learning Specialty, Google Professional ML Engineer) What's in it for you In addition to a competitive basic salary, you will also have an extensive benefits package which ...

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. ...

NVIDIA Deep Learning Institute credentials) — strongly preferred. Cloud AI/ML certification: AWS Certified Machine Learning – Specialty, Microsoft Certified: Azure AI Engineer Associate, or Google Professional Machine Learning Engineer — at least one preferred. Kubernetes: CKA or CKAD — preferred. TOGAF 9/10 or equivalent enterprise architecture certification — beneficial. Adjacent Technical ...

NVIDIA Deep Learning Institute credentials) — strongly preferred. Cloud AI/ML certification: AWS Certified Machine Learning – Specialty, Microsoft Certified: Azure AI Engineer Associate, or Google Professional Machine Learning Engineer — at least one preferred. Kubernetes: CKA or CKAD — preferred. TOGAF 9/10 or equivalent enterprise architecture certification — beneficial. Adjacent Technical ...

corporate_fare Google place Waltham Cross, UK X This role is not eligible for immigration sponsorship. Experience with assembly of mechanical or electrical systems, or performing component-level repairs and troubleshooting on technical equipment. Experience with diagnosing and troubleshooting operating systems, computer hardware and server hardware. Experience with networking protocols. … scripting. Ability to collaborate and partner with people and teams to overcome issues. Ability to manage competing and changing priorities. About the job Google isn't just a software company. The Hardware Operations team is responsible for monitoring the state-of-the-art physical infrastructure behind Google's powerful search ...

Migration and Transformation Architect, Google Cloud, EMEA Share Migration and Transformation Architect, Google Cloud, EMEA Google place London, UK ; Dubai - United Arab Emirates ; +3 more Bachelor's degree or equivalent practical experience. 10 years of experience with enterprise IT architecture, cloud infrastructure, or in a related customer facing technical role. … technical depth and executive presence to lead these complex transformations. In this role, you will work as a Migration and Transformation Architect within Google Cloud’s Migrate, Modernize and Build (MMB) practice. You will partner with Account Teams and enterprise C-suites, turn legacy estates into executable Google Cloud transformations. ...

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 ...

several of the following areas: Strong understanding of cybersecurity fundamentals, networking and platform engineering. Cloud security experience across AWS, Microsoft Azure and/or Google Cloud Platform. Experience with SIEM and log management tools such as Splunk, Microsoft Sentinel, Cribl or ELK. Scripting or programming skills using Python, Bash ...

French is a plus. Preferred Qualifications: Master’s degree in Computer Science or a related field. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). Knowledge of containerization technologies (e.g., Docker, Kubernetes). Familiarity with Agile/Scrum methodologies. Previous experience working in a startup or fast-paced environment. ...

techniques,?tools and standards.? Public cloud technologies, cloud hosting, container, and networking design patterns,?tools and best practice (eg Amazon Web Services, Microsoft Azure, Google Cloud Platform).? Agile delivery methodologies and best practice.? DevOps: Continuous Integration (CI) and Continuous Delivery (CD) delivery methodologies,?tools and best practice.? Shaping ...

Technical Skills and Technologies Experience with a range of the following technologies, frameworks and tools would be advantageous: Cloud platforms: AWS, Microsoft Azure and Google Cloud Platform (GCP). Architecture frameworks: TOGAF, Zachman and MODAF. Agile methodologies: SAFe, Scrum and Kanban. Modelling tools: UML, ArchiMate and Ardoq. Enterprise technology platforms ...

field Preferred qualifications, capabilities, and skills Possession of advanced certifications in data science, cloud computing, or software engineering, such as AWS Certified Solutions Architect, Google Professional Data Engineer, Certified Data Scientist, or Project Management Professional (PMP) Possess knowledge of AI and machine learning methodologies, along with proficiency in AI tools ...

data, data warehouses and APIs. Experience taking GenAI solutions from experimentation through to production. Practical experience with cloud platforms such as Azure, AWS or Google Cloud and technologies such as Docker. Strong problem-solving, communication and collaboration skills. Experience with GraphRAG or knowledge graph-based retrieval, entity resolution, LLM evaluation ...

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 ...

frameworks in Java. + **Microservices Architecture:** Experience in developing RESTful and event-driven microservices. + **Cloud & Containerization:** Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization (Docker, Kubernetes). + **CI/CD & Version Control:** Experience with CI/CD pipelines and version control tools such as Git. ...

documenting and maintaining transformation workflows. Experience designing and delivering data solutions on at least one major cloud platform, such as AWS, Microsoft Azure or Google Cloud. Strong understanding of modern data engineering principles, including ETL/ELT, data modelling, warehouse architecture and scalable data pipeline design. Experience taking technical solutions ...

solving skills and the ability to collaborate effectively within a cross-functional team. Desirable Experience Modern web development frameworks, particularly Next.js, React and TypeScript. Google Cloud Platform services, especially BigQuery. Enterprise authentication and authorisation, including SSO, SAML, OAuth and role-based access control. Developing and optimising applications that process high ...