51 to 75 of 2,664 Google Jobs in England

strategy, implementation, optimisation and reporting across our key digital channels. This is a hands-on role. You should be comfortable getting into Google Ads, Meta Ads, Google Analytics, Search Console, websites, SEO tools and content systems yourself rather than relying entirely on external agencies. Key Responsibilities Paid Advertising Manage … optimise Google Ads campaigns from end to end. Manage and optimise Meta Ads (Facebook & Instagram) campaigns. Build campaigns targeting new patient acquisition, specific treatments and local markets. Manage budgets and continuously improve cost per lead and conversion rates. Create and test different adverts, audiences, landing pages and offers. Monitor campaign ...

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 ...

Google Workspace Support Specialist Onsite in Stevenage, Hertfordshire £800 per day inside ir35 Active SC clearance essential - MOD SC preferred We're looking for an experienced Google Workspace Support Specialist to join a secure enterprise environment in Stevenage. This is a hands-on Level 2 support and administration role, requiring … strong knowledge of Google Workspace alongside excellent ITSM and incident management experience. Key Skills Required: Advanced Google Workspace Administration Strong L2 Google Workspace support experience Gmail, Google Meet, Drive, Chat, Docs, Sheets & Slides User account and application/service management Expert-level incident & request management Remedy/enterprise ITSM experience ...

Code (IaC). PowerShell, Python, and YAML scripting. Kubernetes and container technologies. Cloud networking, security, and automation. Experience supporting cloud migration projects. AWS or Google Cloud exposure. Ansible, DynaTrace, and ServiceNow. Cost optimization and cloud governance experience. What We're Looking For Strong problem-solving and troubleshooting skills. Experience delivering ...

12+ years of experience in Data Engineering, Data Architecture, and Cloud Solutions with strong expertise in Google Cloud Platform (GCP). Expert-level hands-on experience with GCP data services including BigQuery, Cloud Composer (Airflow), Dataflow, Dataproc, Cloud Storage, Pub/Sub, and Vertex AI. Advanced proficiency in dbt, Python ...

Information Technology, Artificial Intelligence, Data Science, or a related technology discipline Minimum 2:1 degree classification (or equivalent) Desirable Azure OpenAI, AWS Bedrock and Google Gemini experience MLOps, Data Engineering or Platform Engineering experience Experience leading technical teams Knowledge of Agentic AI, AI Agents and emerging AI frameworks What ...

Information Technology, Artificial Intelligence, Data Science, or a related technology discipline Minimum 2:1 degree classification (or equivalent) Desirable Azure OpenAI, AWS Bedrock and Google Gemini experience MLOps, Data Engineering or Platform Engineering experience Experience leading technical teams Knowledge of Agentic AI, AI Agents and emerging AI frameworks What ...

data visualisations * Working with PostgreSQL and ORM technologies such as SQLAlchemy * Developing reliable, scalable and high-performance applications * Working with cloud-native technologies, particularly Google Cloud Platform (GCP) * Contributing to automated testing, CI/CD and code review processes * Writing clean, maintainable and well-documented code * Collaborating with engineers, data ...

Solid back-end development experience using C# and .NET frameworks. Strong understanding of RESTful APIs, API design best practices, and microservices architecture. Experience with Google Cloud Platform (GCP) or another major cloud provider, including managed services and database integrations. Strong knowledge of CI/CD pipelines, source control, and release ...

production, making practical engineering trade-offs across performance, scalability, reliability, security, maintainability, and cost Expert knowledge of cloud platforms such as Amazon Web Services, Google Cloud Platform, or Microsoft Azure, with strong experience using Docker, Kubernetes, Elastic Container Service, or equivalent technologies in production environments Strong experience designing and implementing ...

production, making practical engineering trade-offs across performance, scalability, reliability, security, maintainability, and cost Expert knowledge of cloud platforms such as Amazon Web Services, Google Cloud Platform, or Microsoft Azure, with strong experience using Docker, Kubernetes, Elastic Container Service, or equivalent technologies in production environments Strong experience designing and implementing ...

months of Unix/Linux system administration/Containers experience preferred Scripting knowledge/experience (Python) Knowledge in Cloud platforms preferred (AWS, Microsoft Azure, Google Cloud Platform etc.) Knowledge in Configuration management tools (Chef, Ansible, terraform etc.) Basic understanding of ITIL v4 processes such as Incident, Change, Problem and Release ...

solving skills and a curiosity for learning new technologies. Good verbal and written communication skills. Familiarity with cloud platforms (e.g., Azure (preferable), AWS, or Google Cloud). Basic knowledge of containerization tools like Docker and orchestration platforms like Kubernetes. Interest in infrastructure‐as‐code tools like Terraform. Passion for exploring ...

Code: Experience with Terraform, CloudFormation, CDK or equivalent tools. Scripting & Automation: Skills in Python, Ansible, Bash, Groovy, Powershell, or similar. DESIRABLE SKILLS: Azure or Google Cloud Experience: Ability to compare and contrast cloud offerings, especially in a migration scenario. AWS Professional Certification: If you don’t already have ...

Large Language Models, Generative AI, Retrieval‐Augmented Generation (RAG), AI agents, and enterprise AI architectures. Experience with cloud platforms including AWS, Azure, or Google Cloud Platform. Understanding of APIs, microservices, distributed systems, and enterprise integration patterns. Experience designing secure, scalable, and highly available enterprise solutions. Familiarity with Kubernetes, Docker, cloud ...

production, making practical engineering trade‐offs across performance, scalability, reliability, security, maintainability, and cost Expert knowledge of cloud platforms such as Amazon Web Services, Google Cloud Platform, or Microsoft Azure, with strong experience using Docker, Kubernetes, Elastic Container Service, or equivalent technologies in production environments Strong experience designing and implementing ...

production, making practical engineering trade-offs across performance, scalability, reliability, security, maintainability, and cost Expert knowledge of cloud platforms such as Amazon Web Services, Google Cloud Platform, or Microsoft Azure, with strong experience using Docker, Kubernetes, Elastic Container Service, or equivalent technologies in production environments Strong experience designing and implementing ...

software architecture, design principles, engineering standards, testing, quality assurance, and release management. Experience designing secure, scalable, resilient cloud solutions using Azure, AWS, or Google Cloud. Strong understanding of APIs, microservices, integration patterns, event-driven architecture, DevOps, CI/CD, infrastructure as code, and automation. Proven ability to lead and mentor ...

production, making practical engineering trade-offs across performance, scalability, reliability, security, maintainability, and cost Expert knowledge of cloud platforms such as Amazon Web Services, Google Cloud Platform, or Microsoft Azure, with strong experience using Docker, Kubernetes, Elastic Container Service, or equivalent technologies in production environments Strong experience designing and implementing ...

when to use different tools. Scripting & Automation: Skills in a scripting language like Python, Ansible, Bash, Groovy, Powershell, or similar. DESIRABLE SKILLS: Azure or Google Cloud Experience: Ability to compare and contrast cloud offerings, especially in a migration scenario. AWS Professional Certification: If you dont already have one, youll ...

systems, and event-driven architectures. Experience with relational databases such as PostgreSQL, MySQL, or Oracle. Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform. Familiarity with containerisation technologies including Docker and Kubernetes. Experience with CI/CD tools and automated testing frameworks. Strong knowledge of software design ...

when to use different tools. Scripting & Automation: Skills in a scripting language like Python, Ansible, Bash, Groovy, Powershell, or similar. DESIRABLE SKILLS: Azure or Google Cloud Experience: Ability to compare and contrast cloud offerings, especially in a migration scenario. AWS Professional Certification: If you don't already have ...

unleash AI. Our cloud-native platform, the company Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, relying ...

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 such ...

automation capabilities, to improve the value realized by automation at scale. Required qualifications, capabilities, and skills Formal training or certification (e.g., BSc, CKAD, Google Associate Cloud Engineer, or AWS Certified Solutions Architect). Expert-level administration of a major cloud platform (GCP, AWS, or Azure). Mastery of Kubernetes administration ...