1 to 25 of 409 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 ...

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

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

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 ...

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 ...

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

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 ...

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

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

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/ ...

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 ...

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 ...

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 ...

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 ...

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 ...

field Preferred qualifications, capabilities, and skills 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) Possess knowledge of AI and machine learning methodologies, along with proficiency in AI tools ...

field Preferred qualifications, capabilities, and skills 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) Possess knowledge of AI and machine learning methodologies, along with proficiency in AI tools ...

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 ...

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 ...

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 ...

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 dont already have one, youll ...

when to use different tools. Scripting & Automation: Skills in a scripting language like 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 dont already have one, youll ...

implementing RESTful APIs with clear documentation Solid understanding of database design and optimization (SQL and/or NoSQL) Experience with cloud platforms (AWS, Google Cloud, or Azure) and containerization technologies (Docker, Kubernetes) Experience building data-intensive applications or processing large-scale log data Strong understanding of system design principles, including ...

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). xgfakrv Desirable: prior experience as a forward-deployed or embedded engineer within a client environment; exposure to regulated industries such as energy ...