1 to 25 of 421 Google Jobs in London

Data Solutions Architect, Azure Data Architect, AWS Data Architect, GCP Data Architect, Data Engineering Lead, Solution Architect, Snowflake, Databricks, Synapse, BigQuery, Redshift, AWS, Azure, Google Cloud Platform (GCP), Terraform, CloudFormation, ARM Templates, DevOps, CI/CD, ETL, ELT, Data Mesh, Data Fabric, AI Architecture, Infrastructure-as-Code. Deerfoot Recruitment Solutions ...

learning, and a commitment to advancing both personal expertise and organizational capability. **Skill Level Requirements** • Deep expertise in cloud architecture across AWS, Azure, or Google Cloud platforms. • Strong experience designing microservices-based architectures, APIs, and containerized environments (Docker, Kubernetes). • Proven ability to architect solutions across enterprise systems, integration layers ...

learning, and a commitment to advancing both personal expertise and organizational capability. Skill Level Requirements Deep expertise in cloud architecture across AWS, Azure, or Google Cloud platforms. Strong experience designing microservices-based architectures, APIs, and containerized environments (Docker, Kubernetes). Proven ability to architect solutions across enterprise systems, integration layers ...

systems Understanding of REST APIs, distributed systems, and database design Familiarity with SQL and NoSQL databases Experience with cloud platforms (e.g., Amazon Web Services, Google Cloud Platform, or Microsoft Azure) Knowledge of containerisation technologies like Docker and orchestration tools such as Kubernetes Experience with AI/ML frameworks (e.g., TensorFlow ...

existing capabilities, influence roadmaps, and accelerate delivery. AI & ML Integration: Drive the strategy for integrating and operationalizing Large Language Models (LLMs), agentic frameworks (e.g., Google ADK, LangChain), and other AI/ML technologies to solve real‐world banking challenges. Operational Excellence: Implement and champion best‐in‐class engineering practices, including ...

integration of AI into daily marketing workflows. Incorporate this into the wider digital marketing strategy. Technical tracking: Manage the firms tracking infrastructure (e.g. Google Tag Manager) to ensure all digital touchpoints and conversions are accurately captured. What Were Looking For Previous digital marketing, analytical and management experience. Ability to build … within a partnership structure. Experience with Contentful (or other website CMS), Vuture (or other email marketing tools), LinkedIn and LinkedIn Ads, Facebook, Instagram, YouTube, Google Ads, Google Analytics, Google Search Console, Google Looker Studio, Moz (or other SEO tools), Hotjar (or other heatmap tools) and AI tools. Intermediate IT skills ...

implementing automated testing within CI/CD pipelines. Understanding of microservices and containerised architectures. Experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform. Knowledge of performance, security, or accessibility testing. Experience with infrastructure-as-code or container technologies including Docker, Kubernetes, or Terraform. Contributions to open ...

/HTTPS protocols, and proficiency in API documentation. Familiarity with server management, network configurations, and an understanding of cloud services (like AWS, Azure, or Google Cloud). Knowledge of various stages of the SDLC, including design, development, testing, and deployment. Knowledge of how to contribute to technical documentation Perks ...

development. Strong proficiency in SQL and Python. Hands-on experience with DBT, Git, Terraform, IAM, Airflow/Composer, and Docker. Cloud platform experience, preferably Google Cloud Platform (BigQuery), with Azure or AWS also considered. Experience building and maintaining modern data warehouses and data platforms. Strong understanding of CI/ ...

TypeScript, JavaScript, Database Design, SQL, NoSQL, PostgreSQL, System Architecture, Technical Leadership, Engineering Strategy, Software Reliability, Performance Optimisation, Automation, DevOps, CI/CD, AWS, Azure, Google Cloud, Kubernetes, Docker, Open Source, GitHub, Research Engineering, Machine Learning Engineering, AI Engineering, Deep Learning, Mathematical Modelling, Competitive Programming, Hackathons, Research Projects, Technical Projects, Product ...

cost control Auditing and compliance enforcement Desirable Skills AWS Specialty certifications (e.g. Security, Machine Learning, Advanced Networking) Exposure to other cloud platforms (e.g. Azure, Google Cloud) Whats on Offer Competitive base salary + comprehensive benefits package 30 days annual leave Private medical insurance Additional paid leave for charitable work Access ...

utility Required qualifications, capabilities and skills Demonstrate proficiency in Java and/or Python programming languages Deployed production systems to GenAI platforms such as Google VertexAI, OpenAI, AWS Bedrock, or LangChain Utilized cloud technologies (AWS/Azure/GCP), distributed systems, CI/CD tools, infrastructure-as-code tools ...

data-masking/pipeline controls. Familiarity with the wider observability ecosystem and associated technologies: Cloud platforms: AWS, Microsoft Azure and/or Google Cloud Platform Containers and orchestration: Kubernetes, OpenShift and Docker Operating systems: Linux and Windows Server Telemetry and observability signals: OpenTelemetry (OTEL), application performance monitoring (APM), infrastructure monitoring ...

Engineering, or similar role. Strong knowledge of all Operating systems, such as Linux distributions. Strong knowledge of cloud platforms such as AWS, Azure, or Google Cloud. Experience with containerisation and orchestration tools such as Docker and Kubernetes. Hands‐on experience with CI/CD tools such as Jenkins, GitHub Actions ...

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 ...

KPIs and performance metrics across digital products and services. Knowledge of data governance, quality assurance, privacy, and security best practices. Hands-on experience with Google Analytics (GA4) and digital performance data. Excellent stakeholder management and communication skills. Desirable Experience Experience analysing customer acquisition, engagement, and retention within subscription-based ...

distributed systems, with a focus on reliability, performance and user impact. Experience of building applications hosted on cloud platforms such as AWS, Azure or Google Cloud. Ability to build code-defined, reliable and well-tested infrastructure using tools such as Terraform, CloudFormation or similar. Knowledge of Linux/Unix fundamentals ...

data-masking/pipeline controls. Familiarity with the wider observability ecosystem and associated technologies: Cloud platforms: AWS, Microsoft Azure and/or Google Cloud Platform Containers and orchestration: Kubernetes, OpenShift and Docker Operating systems: Linux and Windows Server Telemetry and observability signals: OpenTelemetry (OTEL), application performance monitoring (APM), infrastructure monitoring ...

build their go-to-market motion exactly as they need. We've raised $116M from some of the world's best investors: GV (Google Ventures), Redpoint, Balderton, Point Nine, and 01A. We hire builders who thrive on complex technical challenges, hold themselves to a high bar, and genuinely care about ...

experience with system security, operating systems, cloud infrastructure, and enterprise data management. Key Skills Advanced knowledge of cloud platforms: Microsoft 365, Azure, AWS, and Google Cloud Platform (GCP). Hands-on experience with programming languages such as Java, .NET, Python, or equivalent. Microservices architecture and containerization. RESTful API design ...

degree in Computer Science, Engineering, Mathematics, Data Science or related discipline, or equivalent depth through relevant professional certifications (e.g. AWS Solutions Architect Professional, Google Professional ML Engineer). Desirable: prior experience as a forward‐deployed or embedded engineer within a client environment; exposure to regulated industries such as energy, financial ...

NVIDIA Deep Learning Institute credentials) — strongly preferred. Cloud AI/ML certification: AWS Certified Machine Learning – Specialty, Microsoft Certified: Azure AI Engineer Associate, or Google Professional Machine Learning Engineer — at least one preferred. Kubernetes: CKA or CKAD — preferred. TOGAF 9/10 or equivalent enterprise architecture certification — beneficial. Adjacent Technical ...

degree in Computer Science, Engineering, Mathematics, Data Science or related discipline, or equivalent depth through relevant professional certifications (e.g. AWS Solutions Architect Professional, Google Professional ML Engineer). Prior experience as a forward-deployed or embedded engineer within a client environment; exposure to regulated industries such as energy, financial services ...

coding → testing → ops). Tooling & Platforms (practitioner proficiency) Claude Code (Anthropic) for secure, context‐rich code assistance; use with projects, tool use, code planning. Google Gemini (Nano/Pro/1.5) for multimodal reasoning; integrate via Vertex AI; grounding, structured output, function‐calling. Azure OpenAI/GPT‐4.x for enterprise ...

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 ...