1 to 25 of 758 Google Jobs in England

appropriate experience . Produce product performance dashboards, user segmentation analysis, media agency tagging implementation Produce program dashboards and weekly analysis/information updates Knowledge/experience You will need: Google Cloud Platform. Experience setting up and iterating: Google Cloud Platform Projects & IAM permissions Google Storage buckets and folders Google Dataprep flows, recipes and outputs as ETL pipeline to provide datasets … for analysis and feed into dashboards. Experience working as a Digital Analyst using Google 360 Enterprise Analytics: Google Tag Manager containers and tags, triggers and variable to feed user behaviour and marketing activity tracking data into Google Analytics Properties. Google Analytics properties and views to provide user behaviour goals and funnels to enable product iteration Google Data Studio dashboards (with … SQL, Google Sheets and Google Analytics sources) to share information with a broad range of stakeholders A proven track record of web analytics reporting, building dashboards & ad-hoc analysis. Experience in Social Media analytics (reporting, building dashboards & analysis) Experience in identifying and personalization of user journeys derived from quantitative analytics. Experience in Agile development environment (Scrum/Kanban). Azure More ❯

traffic. • Conduct keyword research, competitor analysis, and market research to inform campaign strategies. • Oversee and analyse website and campaign performance as well as optimise marketing activity using tools like Google Analytics, Google Search Console, and SEMrush. • Collaborate with the content team to develop SEO-optimised content strategies. • Stay up to date with industry trends, algorithm changes, and emerging best practices. … and implement new strategies to enhance campaign effectiveness and conversion rates. • Strong understanding of search engine algorithms, ranking factors, and digital advertising best practices. • Proficiency in tools such as Google Ads, Google Analytics, Google Search Console, SEMrush, Ahrefs, Moz or Screaming Frog as well as various social media ad platforms. • Ability to interpret data and translate insights into actionable strategies. More ❯

and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere-on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up More ❯

grasp of GDPR, FOI and public-sector procurement. Communication & Stakeholder Management : Able to translate technical concepts for non-tech executives; excellent leadership, mentoring and team-building skills. Performance Analytics : Google Analytics, Google BigQuery, Google Looker Studio, Google Tag Manager Domain experience in benefits or civic services (e.g. public sector). Previous contracting under SIFA or similar public-sector frameworks. Security More ❯

Strong expertise in SQL Server, Oracle, PostgreSQL, MySQL, or other enterprise databases. SQL is the main skill set we require. Experience in cloud database platforms (AWS RDS, Azure SQL, Google Cloud SQL). Hands-on experience with database performance tuning, security, and backup strategies. Knowledge of infrastructure technologies such as storage, networking, and containerized environments. Experience in database migration, automation More ❯

teams. Technical Skills: Proficiency in programming languages such as Python, Java, or C++. Strong understanding of AI and machine learning concepts. Experience with cloud platforms like AWS, Azure, or Google Cloud. Familiarity with microservices architecture and RESTful APIs. Knowledge of database systems (SQL and NoSQL). Experience with DevOps practices and CI/CD pipelines. Soft Skills: Excellent leadership and More ❯

migration project and lead a talented data engineering team at a fast-growing, tech-driven business. Why this role? Lead the migration of an existing Azure data warehouse to Google BigQuery , creating a scalable, modern platform to power analytics, BI, and data science. Join a collaborative, people-first culture that's been recognised as a Great Place to Work for More ❯

modern language (JavaScript/TypeScript, Java, Python) Web & Product Development: Frameworks (React, Node.js, Django/Flask) AI, GenAI and LLMs: OpenAI, Gemini, Grok, Llama Agentic AI: Frameworks (langchain, langgraph, Google ADK) AI enabled code tooling: Cursor, Windsurf, GitHub copilot AI powered platform development: Lovable, Replit, Bolt APIs & Microservices: RESTful APIs, GraphQL, microservice architectures Cloud & DevOps: AWS, Azure, or GCP; Docker More ❯

testing. • Experience managing and mentoring junior colleagues. • Experience with chatbots and working with chat data. And any experience of these would be really useful: • Hands-on work experience with Google Cloud Platform (GCP) implementations. • Experience in implementing and supporting Machine Learning systems, including automating data validation, model training, model validation, and model monitoring. • Awareness of the latest industry technical developments More ❯

/ML methods to develop intelligent data-driven product features Experience in Python, R & SQL for data manipulation, modelling and scripting Experience with cloud services, such as AWS, or Google Cloud for scalable AI/ML development and deployment and knowledge of data pipelining (e.g. via Airflow) A minimum BA/BSc degree in Statistics, Mathematics, Physics, Computer Science or More ❯

Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc. Experience with deploying services in Docker and Kubernetes Experience in creating production grade coding and SOLID programming principles, including test-driven development (TDD) approaches Experience in programming languages More ❯

Solid understanding of software development methodologies (Agile, Scrum, etc.). Ability to analyze complex data sets and derive actionable insights. Preferred Skills: Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). Familiarity with data visualization tools (e.g., Tableau, Power BI). Knowledge of machine learning concepts and their application in software development. Experience with DevOps practices and tools. Qualifications More ❯

Solid understanding of software development methodologies (Agile, Scrum, etc.). Ability to analyze complex data sets and derive actionable insights. Preferred Skills: Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). Familiarity with data visualization tools (e.g., Tableau, Power BI). Knowledge of machine learning concepts and their application in software development. Experience with DevOps practices and tools. Qualifications More ❯

Solid understanding of software development methodologies (Agile, Scrum, etc.). Ability to analyze complex data sets and derive actionable insights. Preferred Skills: Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). Familiarity with data visualization tools (e.g., Tableau, Power BI). Knowledge of machine learning concepts and their application in software development. Experience with DevOps practices and tools. Qualifications More ❯

Business Unit: Data Management Role Overview This strategic, client-facing role sits within a growing Data Management practice and focuses on leading cloud-based data architecture initiatives, particularly on Google Cloud Platform (GCP). The Data Solutions Architect will collaborate with senior stakeholders to modernise data platforms, accelerate cloud transformation, and unlock business value through data and AI. This is More ❯

Business Unit: Data Management Role Overview This strategic, client-facing role sits within a growing Data Management practice and focuses on leading cloud-based data architecture initiatives, particularly on Google Cloud Platform (GCP). The Data Solutions Architect will collaborate with senior stakeholders to modernise data platforms, accelerate cloud transformation, and unlock business value through data and AI. This is More ❯

CD pipelines. Excellent written and verbal communication skills, with the ability to simplify complex ideas for technical and non-technical audiences. Nice to Have Experience with platforms like Braze, Google Analytics, Adobe Analytics, Contentful, or Sitecore. Experience across technology domains including CMS, CRM, Martech platforms, data pipelines, analytics, and cloud services. Exposure to CDPs (e.g., Bloomreach, Segment, BlueConic, Tealium) and More ❯

efficiency and deployment effectiveness, including Azure DevOps or GitHub Considerable experience designing and building operationally efficient pipelines, utilising core Cloud components, such as Azure Data Factory, Big Query, AirFlow, Google Cloud Composer and Pyspark etc Proven experience in modelling data through a medallion-based architecture, with curated dimensional models in the gold layer built for analytical use Strong understanding and More ❯

efficiency and deployment effectiveness, including Azure DevOps or GitHub Considerable experience designing and building operationally efficient pipelines, utilising core Cloud components, such as Azure Data Factory, Big Query, AirFlow, Google Cloud Composer and Pyspark etc Proven experience in modelling data through a medallion-based architecture, with curated dimensional models in the gold layer built for analytical use Strong understanding and More ❯

Resource Planning systems. Experience developing systems with Kafka and stream processing techniques. Experience with Linux and running containers on Kubernetes. Experience with cloud technologies e.g. Microsoft Azure, AWS, or Google Cloud. Personal Attributes Self-motivated with high levels of initiative. Highly productive with the aptitude to understand and apply technology. You enjoy working with people to solve problems, choosing the More ❯

Resource Planning systems. Experience developing systems with Kafka and stream processing techniques. Experience with Linux and running containers on Kubernetes. Experience with cloud technologies e.g. Microsoft Azure, AWS, or Google Cloud. Personal Attributes: Self-motivated with high levels of initiative. Highly productive with the aptitude to understand and apply technology. You enjoy working with people to solve problems, choosing the More ❯

proposal materials. Technical Skills: Experience in architecture related disciplines. Experience in implementing cloud-based AI/ML workloads across one or more CSPs or third-party vendor technologies, including Google PaLM and Vertex AI, Azure OpenAI Services and AzureML, AWS Bedrock, Sagemaker, Dataiku, Databricks, Snowflake,Data Robot. Experience in architecting scalable, performant & cost optimized AI/ML solutions leveraging; serverless More ❯

Hat Open Shift Excellent problem-solving skills and attention to detail. Strong communication and teamwork skills. Preferred Qualifications: Experience with databases: PostgreSQL Knowledge of cloud services: AWS, Azure, or Google Cloud Platform. Familiarity with Agile methodologies. More ❯

software development tools. Experience with core banking systems (e.g., Equation), Treasury systems, and finance systems. Proficiency in SQL Server and database management. Familiarity with cloud technologies (e.g., AWS, Azure, Google Cloud) is a plus. Leadership Skills: Excellent leadership and team management skills. Strong problem-solving and decision-making abilities. Exceptional communication and interpersonal skills. Certifications: Relevant certifications (e.g., PMP, Scrum More ❯

provide a seamless experience for clients. XiP Compute Services are deployed onto OpenShift and Amazon's Elastic Kubernetes Service (EKS). An important initiative in 2025 will be onboarding Google's Kubernetes Engine to further expand our coverage. Our system scales on-demand, and we can run up to tens of thousands of replicas of our services across all asset More ❯