26 to 50 of 1,423 Google Jobs in London

Has an open, honest, and compassionate personality, shows empathy, and demonstrates a proactive approach to tasks and challenges Preferred Qualifications Experience working with other cloud platforms such as Azure, Google Cloud Platform (GCP), or others Familiarity with containerization technologies (e.g., Docker, Kubernetes) and microservices architecture Knowledge of DevOps practices and tools for automation, deployment, and monitoring Active participation in open More ❯

data technologies such as Spark, Kafka, and Flink for distributed data processing and analytics. Cloud Platforms: Deploy and manage data solutions on cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP), leveraging cloud-native services for data storage, processing, and analytics. Data Quality and Governance: Implement data quality checks, validation processes, and data governance policies to ensure accuracy More ❯

effectively in a team environment. Preferred Skills and Qualifications: Prior experience building Enterprise SaaS platforms and products. SAP development experience: ABAP, HANA Cloud development experience using AWS, Azure or Google Knowledge of CI/CD pipelines and tools (e.g., Jenkins, GitLab CI). Familiarity with test-driven development (TDD) or behavior-driven development (BDD). Contributions to open-source projects More ❯

of Excellence drives performance solutions across several channels including social, social, programmatic, commerce and affiliates. We have 30 different nationalities in our teams and work closely with teams from Google, Meta, TradeDesk and Amazon to deliver innovative solutions that helps deliver business results to our clients. Job Description About the Role We are seeking a passionate and experienced Technical Engineering More ❯

/quality engineering; experience of test automation will be beneficial Process Automation, BPM and Digital Platforms, e.g. Pega Cloud technology (knowledge of any or all of Azure, AWS and Google would be beneficial) Experience of handling information security and privacy challenges Interest and awareness in emerging technologies Experience of vendor packages. An appreciation of Artificial Intelligence and Machine Learning Academic More ❯

analytical and problem-solving skills. Excellent communication and interpersonal skills. Ability to work independently and as part of a team. Experience with cloud platforms such as Azure, (AWS or Google Cloud) Good knowledge of optimisation techniques and design patterns for large data solutions. Bachelor's or master's degree in data science, Statistics, Computer Science, or a related field is More ❯

analytical and problem-solving skills. Excellent communication and interpersonal skills. Ability to work independently and as part of a team. Experience with cloud platforms such as Azure, (AWS or Google Cloud) Good knowledge of optimisation techniques and design patterns for large data solutions. Bachelor's or master's degree in data science, Statistics, Computer Science, or a related field is 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 ❯

with platforms such as Moogsoft, BigPanda, or IBM Watson AIOps. Programming : Proficiency in languages such as Javascript, Python, Java, and Bash. Cloud Native Expertise : Experience with Docker, Kubernetes, AWS, Google Cloud, or Terraform. Machine Learning : Understanding of machine learning concepts and frameworks. Problem-Solving : Strong analytical and problem-solving skills to address complex IT issues. At McDonald's we are More ❯

technologies and learn quickly in fast-paced environments A passion for delivering high quality software solutions that meet client expectations Experience with cloud platforms such as AWS, Azure or Google Cloud Familiarity with DevOps practices and principles, such as CI/CD pipelines, containerisation (e.g. Docker) and associated orchestration Knowledge of software security principles and best practices Location? Hybrid, with More ❯

new tools, languages, and frameworks; promote a technology-agnostic approach to problem-solving. Utilize Docker and Docker Compose for local development; support deployment processes in Kubernetes environments on AWS, Google Cloud, or similar platforms. Design and write efficient SQL queries for relational databases; apply deep understanding of database optimization techniques. Apply strong knowledge of concurrency and asynchronous programming; work with More ❯

platforms like BigQuery and implementing BI strategies Direct experience as a Product Owner for the implementation of iPaaS platforms (e.g., Mulesoft, Dell Boomi, Azure Integration Services, AWS Integration Services, Google Cloud Integration) Familiarity with Master Data Management (MDM) concepts and experience in supporting MDM product strategy and execution Strong understanding of data architecture, integration patterns, and agile software development lifecycles More ❯

to build and maintain relationships with key stakeholders and manage large-scale data projects Preferred Qualifications: Experience with cloud-based data platforms and technologies, such as AWS, Azure, or Google Cloud Familiarity with advanced analytics, machine learning, or artificial intelligence applications in a business context Knowledge of query or analytical programming languages Experience in leading digital transformation initiatives that leverage 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 ❯

employees) and/or being one of the first BI/Data employees Certifications in relevant BI tools or data analysis platforms Experience with cloud platforms (AWS, Azure, Google Cloud) Knowledge of data warehousing concepts Reporting Structure This role reports to the Chief of Staff and will work closely with department heads across the organisation. US team benefits : Healthcare Competitive More ❯

Deep technical understanding of AI/ML concepts: supervised and unsupervised learning, GenAI, LLMs, embeddings, MLOps, vector search. Experience designing solutions using tools such as Azure ML, AWS SageMaker, Google Vertex AI, Databricks, LangChain, and Hugging Face. Ability to develop architecture artefacts (e.g., HLDs), estimate effort and cost, and contribute to proposal writing. Strong storytelling and presentation skills; able to More ❯

Code. Advanced SQL skills and experience working with relational databases like PostgreSQL, SQL Server, Oracle, and MySQL. Experience implementing solutions on cloud-based data platforms such as Azure, Snowflake, Google Cloud, and related accelerators. Experience with developing and deploying containerised microservices architectures. Understanding of data modelling techniques, including star schema, snowflake schema, and third normal form (3NF). Proven track More ❯

researching and proposing new solutions. Propose and review Engineering Request for Comments (RFC) to drive Engineering architecture and practices. Technology Stack at Zefr: Core Infrastructure & Cloud Platforms: Cloud Providers: Google Cloud Platform (GCP), Amazon Web Services (AWS) Infrastructure as Code (IaC): Terraform Containerization & Orchestration: Docker, Kubernetes (experience with GKE and/or EKS expected), Helm, Kustomize Service Mesh: Istio CI 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 ❯

code contributions to popular open-source libraries or writing production code. Experience training large-scale models over distributed nodes with cloud tools such as Amazon AWS, MS Azure, or Google Cloud. You will enjoy: Learning and development: On-the-job coaching and learning as well as the opportunity to work with cutting-edge methods and technologies. Plenty of data, compute More ❯

popular open-source libraries or writing production code. Experience training large-scale models over distributed nodes with cloud tools and providers such as Amazon AWS, MS Azure, LambdaLabs or Google Cloud. You will enjoy: Learning and development: On-the-job coaching and learning as well as the opportunity to work with cutting-edge methods and technologies. Plenty of data, compute More ❯

one common web backend language: e.g., Python, Scala, Java, JavaScript (Node.js) including toolchains for documentation, testing, and operations/observability. Developing and deploying applications in a cloud environment like Google Cloud (preferred), AWS, Azure Strong experience with modern software development tools/ways of working (e.g. git/GitHub, DevOps tools, metrics/monitoring, ) Proficiency in front-end technologies: JavaScript More ❯

Experience with Python for advanced data analysis, statistical modelling, and automation Comfortable with a variety of data sets, testing methodologies, and success metrics Hands-on experience with web analytics (Google Analytics, Adobe Analytics) and visualisation tools) Understanding of performance product and marketing channels Experience with ad trafficking, tracking mechanisms, and digital marketing platforms Attention to detail, pursuit of the truth More ❯

to work effectively in a fast-paced, dynamic environment. Requirements Primary Skills: Integration Technologies: Expertise in MuleSoft, Boomi, or similar integration platforms. Experience with cloud-native environments (AWS, Azure, Google Cloud). Business Analysis: Strong skills in requirements gathering, process mapping, and documentation. Ability to translate business needs into technical specifications. Cloud and API Management: Experience with API management, microservices More ❯

record helping organisations leverage public cloud in a way that balances quick wins, immediate savings and sustainable value. Nordcloud is triple-certified across Amazon Web Services, Microsoft Azure and Google Cloud Platform - with 10 European hubs, over 1,300 employees and has delivered over 1,000 successful cloud projects for companies ranging from midsize to large corporates. Our clients benefit More ❯