26 to 50 of 1,838 Google Jobs in England

in a similar role. Strong analytical mindset with a passion for uncovering insights. Skilled in SQL and data visualisation (Looker Studio, Tableau, Power BI). Familiarity with Amplitude/Google Analytics/Adobe Analytics. Strong Excel/Google Sheets skills. Experience in commercial analysis (target building, forecast setting, promotional analysis). Strong communication skills. Awareness of digital marketing. A Level More ❯

Retail Brand: Develop pricing algorithms balancing supply, demand, and margin targets. Build dashboards to track product launches and promotional performance. Analyse customer acquisition channels and ROI using tools like Google Analytics, Ads, Meta, Bing. Map customer journeys and identify conversion drivers. Enhance loyalty programs and customer lifetime value. Lead A/B and multivariate testing to improve UX and conversion. … We're Looking For 5+ years of experience in data insight, pricing, or revenue optimisation. experienced with large datasets from ingestion to analysis. Strong background in e-commerce analytics (Google, Meta, Bing). Advanced SQL , Excel (including VBA/macros) , and Power BI skills. Experience with Python is a plus. Highly numerate with excellent problem-solving skills. Independent thinker with More ❯

products, APIs, frameworks and world-leading deep learning NLP technology . Our tech stack: Programming language: Python Frameworks: FastAPI, Flask, Django Databases and data stores: PostgreSQL, Redis Cloud providers: Google Cloud Platform, Microsoft Azure Events and asynchronous tasks: Celery, NATS, Argo Workflows We work agile in sprints and iteratively deliver towards our milestones and goals. We do code reviews and … reliable data management. Well-versed in software engineering essentials such as unit testing, CI/CD, integration testing, and ensuring code reliability and reproducibility. Familiarity with cloud providers (e.g., Google Cloud, Microsoft Azure) and containerization tools like Docker is a big advantage. You are highly motivated to deliver exceptional outcomes for our customers and keep the big picture in mind More ❯

technical and non-technical stakeholders alike. The Head of Data Engineering & Insight will work within a modern, cloud-based BI ecosystem , including: Data Integration: Fivetran , HVR, Databricks , Apache Kafka, Google BigQuery , Google Analytics 4 Data Lake & Storage: Databricks Delta Lake, Amazon S3 Data Transformation: dbt Cloud Data Warehouse: Snowflake Analytics & Reporting: Power BI, Excel, Snowflake SQL REST API Advanced Analytics More ❯

and deployment technologies (virtualisation, CI tools like Jenkins, configuration management with Ansible, containerisation with Docker, Kubernetes) Data visualization skills (JavaScript preferred) Experience deploying solutions on Cloud platforms (AWS, Azure, Google Cloud) including provisioning tools (Terraform) Strong interpersonal skills for client engagement and requirement gathering Ability to translate business needs into technical solutions Experience in designing Data Science projects, planning, and More ❯

ready to step up and lead. You have recent Microsoft Azure experience, but we also recognise the transferability of cloud engineering and operations fundamentals from Amazon Web Services and Google Cloud Platform. You have a curious and humble mindset that fosters a blameless environment, and you have a can-do attitude. You are someone who knows how to avoid themselves More ❯

do with digital data and technology; building innovative models on top of the latest open source tools, as well as making use of cutting edge AI APIs from OpenAI, Google, Microsoft and AWS. You'll regularly share your knowledge of the rapidly changing and exciting world of AI to ensure Curve benefits from your ongoing research. Additionally, you'll work More ❯

chain components, including suppliers, manufacturers, and distributors. Enhance visibility across the supply chain to improve decision-making and responsiveness. Preferred Skills: Experience with cloud platforms such as AWS, Azure, Google Cloud and cloud-native development. Familiarity with DevOps practices, CI/CD pipelines, and infrastructure as code. Knowledge of security best practices and experience implementing secure coding practices. A track More ❯

Solid understanding of logging, monitoring and observability to understand if software is functioning as required. Strong communication and teamwork skills. Preferred Skills: Experience with cloud platforms e.g., AWS, Azure, Google Cloud. Knowledge of DevOps practices and CI/CD pipelines. Experience with containerization technologies e.g., Docker, Kubernetes Experience in writing distributed systems and concepts of sharding, Pub/Sub. Understanding More ❯

security. We provide a 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. The Dynatrace platform uses cutting-edge technologies, including our own Davis hypermodal AI, to help our customers modernize and automate More ❯

help build or support simple frontendcomponents. Nice to have Experience with MMM, attribution modeling or marketing measurement practice. Experience working closely with data scientists. Understanding of digital ad platforms (Google Ads, CM and DV 360 etc.). Applications are reviewed on an ongoing basis. However, please note we do amend or withdraw our jobs and reserve the right to do More ❯

related field. Advanced degrees or relevant certifications are a plus. Technical Expertise: Proven experience with Azure Data Platform technologies, particularly Azure Databricks. Familiarity with other cloud platforms (e.g., AWS, Google Cloud) is advantageous. Industry Experience: Previous experience in the Alternative Investment Fund industry is a plus but non-essential. Data Architecture and Modelling: Strong knowledge of data architecture principles, data More ❯

work across teams and translate complex data into simple, actionable insights Hands-on experience with Power BI and exposure to cloud data platforms like Azure Data Lake, AWS or Google Cloud Knowledge of credit risk, utilities, or financial services is a bonus A degree (or equivalent experience) in a data-focused subject, with skills in Python or R as a More ❯

top law firms, financial institutions, and multinational corporations such as Allen & Overy, Dentons, and Deloitte. We are backed by prominent investors and VCs, including Octopus Ventures, Raine Ventures, Microsoft, Google for Startups, and Nick Jenkins (founder of Moonpig and former Dragon). What we offer Competitive Salary We offer a highly competitive salary that reflects your skills, experience, and contributions. More ❯

mathematical, statistical concepts, and machine learning algorithms Proficiency in Python and data science libraries for example NumPy, Pandas, Scikit-learn, Keras SQL proficiency Experience with cloud environments for example Google Cloud Platform Version control management Ability to work efficiently without compromising quality Effective communication and data storytelling skills Collaborative mindset and passion for sharing knowledge Charlotte Tilbury is a fast More ❯

a science related subject. A passion for coding, data science, and open source technologies. Ability to write and review production-grade Python. Experience with cloud computing, for example AWS, Google Cloud or Azure, along with modern DevOps practices and infrastructure-as-code tools. Fluency in our core software tooling: Git, Unix/Linux, Docker. Plus, a strong opinion on your More ❯

a strong focus on data products. Data Expertise: Deep understanding of data management principles, data warehousing, data modelling, and schema design. Technical Skills: Proficiency in SQL. Strong experience with Google Cloud Platform (GCP) and BigQuery. Experience with data visualization tools, particularly Power BI. Strong understanding of API integrations. Solid understanding of data privacy regulations (GDPR and other data capture regulations More ❯

a strong focus on data products. Data Expertise: Deep understanding of data management principles, data warehousing, data modelling, and schema design. Technical Skills: Proficiency in SQL. Strong experience with Google Cloud Platform (GCP) and BigQuery. Experience with data visualization tools, particularly Power BI. Strong understanding of API integrations. Solid understanding of data privacy regulations (GDPR and other data capture regulations More ❯

staying current with emerging trends and advancements in the field. Desirable Experience with e-commerce platforms, payment gateways, and related technologies Familiarity with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and headless architecture. Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Competitive salary of £80k-£90k p/a dependent on skills and More ❯

Tableau, Power BI, Looker, or similar to create interactive dashboards and visual reports. Reporting Tools: Proficient in using reporting tools to create and share insights, such as Microsoft Excel, Google Sheets, or similar. The Benefits Annual Leave: 25 days + bank holidays Company holiday: 3 additional days off between Christmas & New Years Ability to buy and sell holiday days as More ❯

Tableau, Power BI, Looker, or similar to create interactive dashboards and visual reports. Reporting Tools: Proficient in using reporting tools to create and share insights, such as Microsoft Excel, Google Sheets, or similar. The Benefits Annual Leave: 25 days + bank holidays Company holiday: 3 additional days off between Christmas & New Years Ability to buy and sell holiday days as More ❯

and open source technologies. At least 3 years of experience writing and deploying production-grade Python. Experience managing and mentoring software engineers. Experience with cloud computing, for example AWS, Google Cloud or Azure, along with modern DevOps practices and infrastructure-as-code tools. Fluency in our core software tooling: Git, Unix/Linux, Docker. Plus, a strong opinion on your More ❯

organisational skills. A keen interest in Artificial Intelligence and Large Language Models (LLMs) and their potential applications within our products. Hands-on experience with cloud platforms such as AWS, Google Cloud, or Azure, including deploying and managing applications in the cloud. Knowledge of containerisation technologies like Docker and orchestration tools like Kubernetes. Familiarity with Agile development methodologies (e.g., Scrum, Kanban More ❯

with RESTful APIs and web services integration. •Strong problem-solving skills and attention to detail. •Effective communication and teamwork abilities. Preferred Qualifications: •Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). •Familiarity with DevOps tools (e.g., Git, Jenkins, Docker, Kubernetes). •Experience with Microsoft technologies, including low-code/no-code platforms such as Power Apps, Power Automate, and More ❯

incident response, and post-mortem analysis Hands-on experience with containerization technologies such as Docker and Kubernetes Proven experience managing cloud-based infrastructure and services, including AWS, Azure, or Google Cloud Platform Proven experience of MSSQL, Oracle and Sybase database environments, including complex query-writing Application support experience within a Unix/Linux environment Strong working knowledge of the FIX More ❯