101 to 125 of 1,892 Google Jobs in England

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 ...

Identity architecture leveraging cloud native and/or other IAM solutions. Advanced, practical experience of cloud hosting services including, Amazon Web Services, Microsoft Azure, Google Cloud Platform. Hands-on experience of Microsoft Active Directory/Azure AD Domain Services, Federation Services, Certificate Services, DNS and DHCP. Understanding of decentralised identity ...

data solutions, automate processes and support advanced analytical requirements. Experience working with cloud-based data platforms, ideally Microsoft Azure, with exposure to AWS or Google Cloud Platform considered advantageous. Knowledge of data orchestration and workflow management tools, such as Azure Data Factory, to support the efficient movement and transformation ...

Support project delivery through operational readiness reviews and transition into service Requirements Strong operational knowledge of enterprise integration technologies such as MuleSoft Anypoint Platform, Google Apigee API Management, Oracle SOA Suite, Oracle Data Integrator (ODI), Oracle Internet Directory (OID), SQL Server Integration Services (SSIS), and Microsoft .NET integration technologies Experience ...

robust data pipelines and models to support treasury operations. Extract, transform, and load (ETL/ELT) complex datasets using modern tech stacks including dbt , Google BigQuery , and Snowflake . Ensure data architecture is scalable, reliable, and optimized for rapid querying and analysis. Reporting, BI & Visualization: Design, build, and maintain automated ...

governance. Active Directory security, Entra Connect or Cloud Sync, and hybrid identity monitoring. SailPoint identity governance or CyberArk privileged access and credential management. AWS, Google Cloud Platform or Oracle Cloud Infrastructure identity and access management. Relevant Microsoft Security, cloud or industry certifications such as CISSP or CCSP. What We Offer ...

with predictive modelling, forecasting, or statistical analysis (Python or R) Experience with marketing attribution or marketing mix modelling Familiarity with cloud data environments (e.g. Google Cloud, Azure) Package Description Our benefits package increases the longer you've been with us. Here's what to expect: 25 days' holiday (increasing ...

Databricks Certificates (e.g. Data Engineer, Machine Learning, Generative AI Associate or Professional) Palantir Foundry certification or equivalent platform experience AWS Certified Machine Learning Engineer Google Professional Machine Learning Engineer CISA - Certified Information Systems Auditor Locations Level 6, London, United Kingdom, EC2N 4BQ, GB About Us As a leading global reinsurer ...

interconnection platform, or network service provider. Experience integrating with platforms such as Megaport, Equinix Fabric, PacketFabric, Console Connect, AWS Direct Connect, Azure ExpressRoute, or Google Cloud Interconnect. Experience with NetBox, Nautobot, or similar source-of-truth platforms. Experience building customer-facing APIs or self-service service delivery platforms. Experience contributing ...

approaches is highly desirable. Experience supporting compliance initiatives involving standards and regulatory frameworks. Key Skills: Advanced knowledge of cloud security across Microsoft Azure, AWS, Google Cloud Platform (GCP), and Microsoft 365. Expertise in Zero Trust security principles and secure-by-design methodologies. Strong understanding of identity and access management technologies ...

translate data into actionable recommendations. Good understanding of data privacy and security principles. Strong written and verbal communication skills. Bonus skills Experience with Google Analytics 4. Experience in digital education, assessment, subscription, SaaS or other data-rich digital businesses. Experience working in global or multicultural settings. Familiarity with Agile product ...

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 ...

whole. Technical skills and knowledge: Cloud hosting providers such as AWS, Azure, GCP, Vercel & Netlify Cross‐platform AI experience across AWS, Microsoft Azure, Google (e.g. Bedrock, AgentCore, Vertex, Azure ML etc.) Advanced Python programming AI frameworks such as AutoGen, Langflow, Tensorflow Knowledge of Infrastructure as Code, CI/ ...

Working with large and complex datasets, ideally in structured databases and distributed systems like Databricks Cloud-based platforms such as Microsoft Azure, AWS or Google Cloud Experience in some of the following areas would also be beneficial: Generative AI and machine learning concepts and applications Structured and unstructured data management ...

design scalable end-to-end blueprints for data ingestion, transformation, and visualization. Tool Selection: Represent business needs in tool selection, (e.g., Snowflake, Domo, Sigma, Google Suite ) enabling us to leverage the full capabilities of our techstake for optimal user experience. Data Visualisation: Inform a Regional Platform Strategy to drive best ...

division of Omnicom Group Inc. Credera will never ask for money up front and will not use apps such as Facebook Messenger, WhatsApp or Google Hangouts for communicating with you. You should be very wary of, and carefully scrutinize, any job opportunity that asks for money prior to starting ...