1 to 25 of 433 Google Jobs in London

Cloud & DevOps Experience with at least one major cloud platform: AWS (preferred) Bedrock SageMaker Lambda ECS/EKS S3 Or experience within: Microsoft Azure Google Cloud Platform (GCP) Additional experience with: Docker Kubernetes Git CI/CD Pipelines Terraform (desirable) What We're Looking For Strong software engineering foundations Passion ...

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

programming skills, including unit and integration testing \n Hands-on experience building and operating cloud-based data platforms using major cloud services (e.g., AWS, Google Cloud, or Azure) \n Experience with large-scale distributed data processing and performance tuning \n Hands-on experience with modern data warehousing/lakehouse technologies ...

Proven experience in DevOps, Platform Engineering, Cloud Engineering, or Site Reliability Engineering roles. Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP). Experience with Infrastructure as Code tools such as Terraform, CloudFormation, ARM Templates, or Bicep. Strong knowledge of CI/CD tools ...

Data Engineer in enterprise or government environments. Proficiency in SQL and Python for data engineering tasks. Experience with cloud platforms such as: AWS, Azure, Google Cloud Platform (GCP) Hands-on experience with data technologies such as: Apache Spark, Databricks, Kafka, Airflow, Snowflake, Hadoop ecosystems Experience designing and maintaining data warehouses ...

backend systems\ NUnderstanding of REST APIs, distributed systems, and database design\ NFamiliarity with SQLand NoSQL databases\ NExperience with cloud platforms (e.G., Amazon Web Services, Google Cloud Platform, or Microsoft Azure)\ NKnowledge of containerisation technologies like Docker and orchestration tools such as Kubernetes\ NExperience with AI/ML frameworks (e.G., TensorFlow ...

Python programming skills, including unit and integration testing\ NHands-on experience building and operating cloud-based data platforms using major cloud services (e.G., AWS, Google Cloud, or Azure)\ NExperience with large-scale distributed data processing and performance tuning\ NHands-on experience with modern data warehousing/lakehouse technologies (e.G., Redshift ...

data pipelines \n Experience building models for dashboard or cube consumption \n Familiarity with cloud-based data lake platforms such as AWS, Azure, or Google Cloud \n Bachelor's degree in computer science, data science, information systems, business analytics, or related discipline \n\n Preferred qualifications, capabilities, and skills ...

architecture in data pipelines\ NExperience building models for dashboard or cube consumption\ NFamiliarity with cloud-based data lake platforms such as AWS, Azure, or Google Cloud\ NBachelor's degree incomputer science, data science, information systems, business analytics, or related discipline\ N\nPreferred qualifications, capabilities, and skills\ N\nExperience with Databricks ...

years of recent, hands-on professional experience actively coding as a data engineer \n Hands-on experience with major cloud technologies (e.g., AWS, Google Cloud, or Azure) \n Experience writing Python using object-oriented programming and unit/integration testing practices \n Experience with SQL and familiarity with SQL-based ...

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 ...

least 5 years of recent, hands-on professional experience actively coding as a data engineer\ NHands-on experience with major cloud technologies (e.G., AWS, Google Cloud, or Azure)\ NExperience writing Python using object-oriented programming and unit/integration testing practices\ NExperience with SQL and familiarity with SQL-based workflow ...

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 ...

Agile or Scrum, in particular iterative approaches to software development in conjunction with the client. 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. This is a genuinely exciting opportunity ...

applications or integrating LLM APIs Familiarity with Retrieval-Augmented Generation (RAG), vector databases, embeddings, and AI agent architectures Experience integrating services from OpenAI, Anthropic, Google Gemini, or similar AI platforms Experience working in regulated, standards-driven, or public sector environments Familiarity with Infrastructure as Code (Terraform, CloudFormation, etc.) Relevant certifications ...

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 ...

distributions, statistical testing, regression analysis Cloud management and deployment – A strong background in different cloud platforms like Amazon AWS, Microsoft Azure, OpenStack Apache, and Google Cloud Platform Databases – A familiarity of working with different databases such as Postgres, MySQL, NoSQL (e.g., MongoDB), Redis is recommended. Web technologies – knowledge and experience ...

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 ...

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 ...

qualifications, capabilities, and skills \n \n Possession of advanced certifications in data science, cloud computing, or software engineering, such as AWS Certified Solutions Architect, Google Professional Data Engineer, Certified Data Scientist, or Project Management Professional (PMP) \n Possess knowledge of AI and machine learning methodologies, along with proficiency ...

including Salesforce Platform Developer I, Marketing Cloud Consultant, Integration Architect, AI Associate, or AI Specialist. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud , and experience integrating with cloud-based data warehouses or data lakes (eg Snowflake, Databricks, BigQuery). Knowledge of data security and compliance best practices ...

etc. Data/Analytics - solving enterprise data and analytics problems using technology Cloud - hands-on Public Cloud experience in either AWS/Azure/Google, both their 'services' and 'how' to work in the cloud such as DevOps-centric approach Security - having worked in sensitive data environments and ideally have ...

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 ...

nPreferred qualifications, capabilities, and skills \ N\nPossession of advanced certifications in data science, cloud computing, or software engineering, such as AWS Certified Solutions Architect, Google Professional Data Engineer, Certified Data Scientist, or Project Management Professional (PMP)\ N Possess knowledge of AI and machine learning methodologies, along with proficiency ...