76 to 100 of 414 GCP Jobs in the City of London

RabbitMQ, MQTT, or similar) Experience with container orchestration and service containerisation (Kubernetes, Docker) Built and deployed services on any major cloud providers' services (Azure, GCP, AWS) Nice to Have: Worked with real-time data collection and/or processing Worked in an IoT or Edge-oriented architectures Experience or knowledge More ❯

e.g., Python, Node.js, Java) and one frontend framework (e.g., React with Tailwind, Angular, Vue) and SwiftUI (for mobile) Ideally experience with cloud services (AWS, GCP) and DevOps practices Knowledge of database design and management (SQL and NoSQL). Strong understanding of security best practices and data protection regulations. Compensation for More ❯

e.g., Python, Node.js, Java) and one frontend framework (e.g., React with Tailwind, Angular, Vue) and SwiftUI (for mobile) Ideally experience with cloud services (AWS, GCP) and DevOps practices Knowledge of database design and management (SQL and NoSQL). Strong understanding of security best practices and data protection regulations. Compensation for More ❯

Remote (UK) Strong Python expertise, especially for API development and testing in cloud environments (preferably AWS). Solid experience with cloud platforms (AWS, Azure, GCP), containerization, automation, and orchestration tools. Familiar with CI/CD pipelines and DevOps practices. Proficient in scripting (Python, Bash, PowerShell), with a focus on Python. More ❯

Remote (UK) Strong Python expertise, especially for API development and testing in cloud environments (preferably AWS). Solid experience with cloud platforms (AWS, Azure, GCP), containerization, automation, and orchestration tools. Familiar with CI/CD pipelines and DevOps practices. Proficient in scripting (Python, Bash, PowerShell), with a focus on Python. More ❯

best practices. Flexibility to travel internationally as required. Desirable Experience with cloud-based broadcast technologies and workflows (e.g., AWS Media Services, Azure Media Services, GCP Media CDN). Hands-on experience with network and broadcast equipment from leading vendors (e.g., Net Insight, Cisco, Arista, Imagine Communications, Grass Valley, Appear, MediaKind More ❯

Reliability Engineering or similar role in a production setting. Strong programming skills in Python, C++, or Rust. In-depth knowledge of cloud platforms (AWS, GCP, or Azure). Proven experience with CI/CD pipelines and container technologies like Docker and Kubernetes. Deep understanding of networking, distributed systems, and databases. More ❯

stack. Ensure high code quality through code reviews, CI/CD, test automation, and Git-based workflows. Own deployment pipelines across cloud providers (AWS, GCP, Azure) using containerization (Docker, Kubernetes). Design and implement microservices and APIs for internal tools and external integrations. Work with data at scale (market data … or proprietary trading firm environment. Crypto-native a plus Infrastructure & DevOps: Production experience with Kubernetes and cloud-native deployment strategies. Hands-on with AWS, GCP, and Azure for compute, networking, and storage configurations. Familiarity with monitoring/logging tools (e.g., Prometheus, Grafana, ELK stack). Trading Systems & Finance: Solid understanding More ❯

A specialist reinsurance broker is seeking a Data Engineer with Google Cloud Platform (GCP) experience to join their growing team in Central London. This is a hybrid role, requiring 2-3 days per week in the office. This is a modern, digitally native business with no legacy systems - a rare … paced team that values innovation, adaptability, and continuous improvement. Key responsibilities will include: Lead and support the migration from Azure to Google Cloud Platform (GCP), including BigQuery Collaborate with stakeholders to understand data needs and ensure smooth transition and integration Become the internal GCP subject matter expert, with direct support … Proven experience as a Data Engineer. Hands-on experience with cloud migrations (on-prem to cloud or cloud-to-cloud). Strong knowledge of GCP, including BigQuery. Experience in Financial Services is desirable but not essential Exposure to AI technologies is a plus Excellent communication and stakeholder management skills Comfortable More ❯

Terraform/Ansible Kubernetes, Docker, or Podman CI/CD Python, Ruby or Go Desirable skills: IaC – Terraform, Helm, Ansible, Pulumi, Bicep AWS or GCP DR Block/Blob Storage HPC Please apply ASAP for more information. More ❯

ETL/ELT pipelines, and analytics engineering principles. Proficient in programming languages such as Python, Scala, or Java, and experienced with cloud platforms (AWS, GCP, or Azure). Experience working with privacy-sensitive data and implementing comprehensive observability and governance solutions. Strong technical foundation with a track record of hands More ❯

expertise in modern BI architecture (Data Lake, EDW, Streaming, APIs, Real-Time & Batch Processing). Demonstrated experience delivering cloud-based analytics platforms (Azure, AWS, GCP). Strong knowledge of data governance, cataloguing, security, automation, and self-service analytics. Excellent leadership and team management skills across distributed and cross-functional teams. More ❯

end. Tech stack: Python (FastAPI, gRPC) React Postgres Temporal, Dagster (workflow/ETL) GitHub Copilot, Cursor Docker, CI/CD pipelines Azure, AWS, or GCP Benefits: Strong equity package 25 days holiday + bank holidays 7.5% matched pension Private healthcare (family + pre-existing conditions included) Access to gym and More ❯

interviews, and technical assessments to gather and prioritise requirements. Guide clients through decisions on public, private, hybrid, and multi-cloud environments (e.g., AWS, Azure, GCP). Design and oversee implementation of conceptual solutions in collaboration with technical experts. Create business cases, ROI models, and transformation plans to support client decision More ❯

e.g., XDR tools like Carbon Black, Microsoft Defender XDR, CrowdStrike) Strong KQL capabilities for log analysis and detection tuning Cloud Security (Microsoft Azure, Google Cloud Platform) Kubernetes and container technologies (e.g., Docker) Threat Hunting, Detection Engineering, Incident Response Security Automation (SOAR), Hyper Automation practices Familiarity with the MITRE ATT&CK More ❯

pricing Familiarity with catastrophe modelling software (e.g., RMS, AIR) Experience with data visualisation tools (e.g., Tableau, Power BI) Experience with cloud platforms (AWS, Azure, GCP) What we offer Opportunity to architect and build cutting-edge pricing capabilities Clear progression path to becoming a critical leader within our pricing function Exposure More ❯

applying feature engineering at scale Understanding of model performance metrics, calibration, A/B testing, and monitoring in production systems Experience with cloud platforms (GCP, AWS or Azure), especially managed ML services like SageMaker or Vertex AI Proficiency in SQL and working knowledge of distributed computing tools like Spark or More ❯

data pipelines with tools like Apache Airflow, Spark, or Kafka. Strong understanding of SQL, NoSQL, and data modeling. Familiarity with cloud platforms (AWS, Azure, GCP) for deploying ML and data solutions. Knowledge of MLOps practices and tools, such as MLflow or Kubeflow. Strong problem-solving skills, with the ability to More ❯

TypeScript, Go, or similar) Practical experience with LLMs, generative AI, or related APIs (OpenAI, Claude, LangChain, etc.) Strong backend/cloud infrastructure knowledge (AWS, GCP, microservices, scalable APIs) Passion for media, creativity, and building innovative AI-driven products Comfortable working in an agile, fast-paced startup environment DESIRABLE SKILLS Experience More ❯

a working understanding of cloud methodologies Experienced in migrating legacy applications to cloud based solutions (both to in house private cloud and external e.g. GCP or Azure) Technologies we would be expecting experience in (not necessarily all but an awareness) – Windows Server, Linux, UNIX, SQL, oracle, Websphere, SAN infrastructure, VmWare More ❯

experience in data engineering, preferably within financial services. Proficiency in SQL, Python, and big data tools like Spark. Strong understanding of cloud platforms (AWS, GCP, or Azure). Excellent problem-solving skills and a collaborative mindset. More ❯

for analytics purposes Developing pipelines that can handle common issues/errors in a robust and automated way Cloud experience in AWS, Azure, or GCP Experience using AWS Data Lakes Please send a CV if you are interested in this new role to start in January. #J-18808-Ljbffr More ❯

and local storage solutions for high-volume robotics or AI workloads. Experience with hybrid setups integrating on-premise infrastructure with cloud services (e.g., AWS, GCP). Familiarity with infrastructure-as-code, automated provisioning, and configuration management tools (e.g., Terraform, Ansible). Strong understanding of IT security principles, especially for mixed More ❯

HealthTech). Strong understanding of modern software development lifecycle, CI/CD, IaC, and cloud-native technologies. Expertise in Kubernetes, AWS (or Azure/GCP), GitOps workflows, observability tools, and automation frameworks. Excellent leadership, communication, and stakeholder management skills. Experience in financial services, especially asset management or investor services. Why More ❯

ideally Git. Strong analytical and troubleshooting skills, with the ability to resolve complex data-related issues. Nice to Have: Familiarity with cloud platforms (AWS, GCP, Azure) and cloud-based database services (Snowflake). Knowledge of data warehousing, orchestration and pipeline technologies (Apache Airflow/Kafka, Azure DataFactory etc.). Experience More ❯