76 to 100 of 1,109 Google Jobs in the UK

usable as working language; Chinese communication ability preferred. Skills: 1、Proficiency in SQL, capable of complex queries, data extraction and processing; 2、database optimization experience preferred; 3、Mastery of Google Analytics, able to analyze traffic and user behavior data, identify needs and opportunities; 4、Proficiency in Power BI, able to independently create reports and dashboards with good data presentation skills More ❯

usable as working language; Chinese communication ability preferred. Skills: 1、Proficiency in SQL , capable of complex queries, data extraction and processing; 2、database optimization experience preferred; 3、Mastery of Google Analytics, able to analyze traffic and user behavior data, identify needs and opportunities; 4、Proficiency in Power BI , able to independently create reports and dashboards with good data presentation skills More ❯

usable as working language; Chinese communication ability preferred. Skills: 1、Proficiency in SQL , capable of complex queries, data extraction and processing; 2、database optimization experience preferred; 3、Mastery of Google Analytics, able to analyze traffic and user behavior data, identify needs and opportunities; 4、Proficiency in Power BI , able to independently create reports and dashboards with good data presentation skills More ❯

quality, and compliance standards. Strong analytical and problem-solving skills with attention to detail. Excellent communication and documentation abilities. Preferred: Exposure to cloud data platforms (AWS Redshift, Azure Synapse, Google BigQuery, Snowflake). Knowledge of Python, R, or other scripting languages for data manipulation. Experience in banking, financial services, or enterprise IT environments. More ❯

quality, and compliance standards. Strong analytical and problem-solving skills with attention to detail. Excellent communication and documentation abilities. Preferred: Exposure to cloud data platforms (AWS Redshift, Azure Synapse, Google BigQuery, Snowflake). Knowledge of Python, R, or other scripting languages for data manipulation. Experience in banking, financial services, or enterprise IT environments. More ❯

Kafka, Spark, Hadoop) and major cloud platforms (AWS, Azure, GCP) to inform technology recommendations. Proficiency in Java, C#, Python, or JavaScript/TypeScript. Experience with cloud platforms (AWS, Azure, Google Cloud) and DevOps practices. Familiarity with SQL/NoSQL databases, APIs, Docker/Kubernetes, and CI/CD pipelines. Confident communicator able to brief Senior Leadership and collaborate with stakeholders More ❯

workflows using GitHub Actions to automate the deployment process and enhance collaboration within the team. **Preferred Skills** - **Experience with Other Cloud Platforms:** Familiarity with additional cloud platforms, such as Google Cloud Platform (GCP) or Microsoft Azure, will be advantageous and broaden your impact within our data architecture. - **Data Governance and Compliance:** Understanding of data governance frameworks and compliance standards will More ❯

in complex, regulated environments. Deep understanding of the AI/ML lifecycle, model governance, and ethical AI. Hands-on experience with platforms such as AWS Bedrock, Azure AI Foundry, Google Vertex, and open-source AI/ML stacks. Familiarity with Agentic AI Frameworks and risk-based AI assurance. Strong grasp of DPIAs, data protection, and transparency requirements. Excellent communication skills More ❯

Experience with modern data warehouses (BigQuery, Snowflake, Redshift). Proven experience in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools. Demonstrated experience across key use cases such as: Customer Lifetime Value (CLV) modelling Propensity scoring and lead prioritisation Budget allocation and bidding optimisation Experimentation, A More ❯

in cyber operations, detection & response , or building and running modern SOCs. Strong understanding of Security Information and Event Management (SIEM) and Security Orchestration, Automation and Response (SOAR) platforms (e.g. Google SecOps, Chronicle, Siemplify). Proven experience in solution design , including development of HLD/LLD documentation and architectural blueprints. Familiarity with architecture frameworks (e.g. TOGAF ) and delivery models ( Agile, DevOps More ❯

employers and the market Learn about DevOps methodologies and the fundamentals of databases and data migration Tools and technologies learned: Learners will learn to use Microsoft Azure, AWS and Google Cloud. 90% of QA apprentices secure permanent employment after completing: this is 20% higher than the national average. Apprenticeship Standard Information communications technician (level 3) Training Provider QA LIMITED Working More ❯

NOSQL API Development: RESTful APIs Version Control: Git CI/CD: TeamCity Desirable Skills: Docker and Containerization Monitoring and Logging (e.g., Prometheus, Grafana, ELK Stack) Cloud Platforms (AWS, Azure, Google Cloud) Security and Compliance API Documentation (e.g., Swagger, OpenAPI) Code Quality Tools (e.g., SonarQube) Agile Methodologies (Scrum or Kanban) Soft Skills: Team Collaboration : Ability to work effectively with cross-functional More ❯

NOSQL API Development: RESTful APIs Version Control: Git CI/CD: TeamCity Desirable Skills: Docker and Containerization Monitoring and Logging (e.g., Prometheus, Grafana, ELK Stack) Cloud Platforms (AWS, Azure, Google Cloud) Security and Compliance API Documentation (e.g., Swagger, OpenAPI) Code Quality Tools (e.g., SonarQube) Agile Methodologies (Scrum or Kanban) Soft Skills: Team Collaboration : Ability to work effectively with cross-functional More ❯

AI/NLP with experience in conversational AI development. Proven experience delivering technical training on conversational AI to diverse audiences. Holding certification that relevant AI/ML certifications (eg, Google Professional ML Engineer, AWS Machine Learning, or NLP-focused credentials). Contributions to AI publications, conference talks, or active involvement in AI communities. Proficiency in multiple languages, especially for multi More ❯

AI/NLP with experience in conversational AI development. Proven experience delivering technical training on conversational AI to diverse audiences. Holding certification that relevant AI/ML certifications (e.g., Google Professional ML Engineer, AWS Machine Learning, or NLP-focused credentials). Contributions to AI publications, conference talks, or active involvement in AI communities. Proficiency in multiple languages, especially for multi More ❯

Preferred Qualifications Experience with mobile consumer apps and/or subscription business models . Basic proficiency in Python for statistical or predictive modeling. Familiarity with mobile UA platforms (Meta, Google Ads, AppLovin, Apple Search Ads, TikTok). Background in consumer behavior analytics and retention modeling. Knowledge of advanced methods for monetization analytics (churn models, survival analysis, predictive LTV). Benefits More ❯

Preferred Qualifications Experience with mobile consumer apps and/or subscription business models . Basic proficiency in Python for statistical or predictive modeling. Familiarity with mobile UA platforms (Meta, Google Ads, AppLovin, Apple Search Ads, TikTok). Background in consumer behavior analytics and retention modeling. Knowledge of advanced methods for monetization analytics (churn models, survival analysis, predictive LTV). Benefits More ❯

Preferred Qualifications Experience with mobile consumer apps and/or subscription business models . Basic proficiency in Python for statistical or predictive modeling. Familiarity with mobile UA platforms (Meta, Google Ads, AppLovin, Apple Search Ads, TikTok). Background in consumer behavior analytics and retention modeling. Knowledge of advanced methods for monetization analytics (churn models, survival analysis, predictive LTV). Benefits More ❯

Preferred Qualifications Experience with mobile consumer apps and/or subscription business models . Basic proficiency in Python for statistical or predictive modeling. Familiarity with mobile UA platforms (Meta, Google Ads, AppLovin, Apple Search Ads, TikTok). Background in consumer behavior analytics and retention modeling. Knowledge of advanced methods for monetization analytics (churn models, survival analysis, predictive LTV). Benefits More ❯

Preferred Qualifications Experience with mobile consumer apps and/or subscription business models . Basic proficiency in Python for statistical or predictive modeling. Familiarity with mobile UA platforms (Meta, Google Ads, AppLovin, Apple Search Ads, TikTok). Background in consumer behavior analytics and retention modeling. Knowledge of advanced methods for monetization analytics (churn models, survival analysis, predictive LTV). Benefits More ❯

deep technical expertise and retail domain knowledge and familiarity with Retail Industry Logical Data Models. Alongside this you will also bring: Strong experience in Data Management and Analytics in Google and AWS platforms Experience of Information Security and GDPR, privacy and compliance regulations Data Modeling and Machine Learning It would be advantageous to have knowledge in/or/be More ❯

experience with either government or the private sector Continuous integration and deployment, incl. GitHub Actions, AWS CodePipeline, etc. Cloud platforms, such as Microsoft Azure, Amazon Web Services (AWS) and Google Cloud Platform (GCP) Benefits: We are a flat organisation and team members are rewarded for being great at what they do, not the seniority they have reached in the company. More ❯

with multinational corporations Sector-specific expertise (Automotive) Qualifications/Education: A degree in Marketing, Business, or a related field (or equivalent experience). Digital marketing qualifications or certifications (e.g., Google Ads, Analytics) advantageous. Fluent in English Why Join Us? Our work is customer-centric, interdisciplinary, and international. We wholeheartedly support our clients throughout all project phases, from strategy development to More ❯

lakes in a global retail or similar data-intensive industry Expert-level proficiency in various data modeling techniques and tools Strong hands-on experience with cloud data platforms, specifically Google Cloud Platform - BigQuery Experience with leading ETL/ELT tools and data pipeline orchestration (e.g., Dataflow, Apache Airflow, Talend, Informatica) Advanced SQL skills and deep knowledge of various database technologies More ❯

environments • API development with Falcon framework • Experience working in a pragmatic startup and managing ambiguity • Good understanding of authentication and authorisation (we currently use NextAuth/JWT) • Experience with Google Cloud Platform • Understanding of PostgreSQL and data modelling • Exposure to BigQuery would be beneficial • Exposure to Infrastructure as Code tools such as Terraform At ASK BOSCO® , everybody is invited with More ❯