1 to 25 of 364 Permanent GCP Jobs in the City of London

GCP Data Engineer | London | £50,000 - £70,000 Peaple Talent have partnered with a specialist data consultancy delivering services across data engineering, data strategy, data migration, BI & analytics. With a diverse portfolio of clients and cutting-edge projects, our client is a trusted name in the data consulting space. Due to exciting growth plans, we are now looking for a … Data Engineer , specialising in Google Cloud Platform (GCP) and BigQuery . We are looking for: Demonstrable data engineering/BI skills, with a focus on having delivered solutions in Google Cloud Platform (GCP) Strong experience designing and delivering data solutions using BigQuery Proficient in SQL and Python Experience working with Big Data technologies such as Apache Spark or PySpark Excellent … communication skills, with the ability to engage effectively with senior stakeholders Nice to haves: GCP Data Engineering certifications BigQuery or other GCP tool certifications What’s in it for you: 📍 Location: London (Hybrid) 💻 Remote working: Occasional office visits each month 💰 Salary: £50,000–£70,000 DOE 🤝 Collaborative culture and strong team support 📈 Vast L&D opportunities both internally and externally More ❯

CI/CD pipelines, and version control (Git, Azure DevOps) beyond the very basics, ensuring reliable and maintainable codebases. Infrastructure & cloud : Familiarity with cloud platforms (Azure preferred; AWS or GCP also valuable), containerization (Docker, Kubernetes), and infrastructure-as-code tools like Terraform. Applied AI development: Experience working with LLM APIs (e.g., OpenAI) and building lightweight AI agents. Familiarity with orchestration More ❯

re comfortable working with .NET/C# . Solid full-stack capability, including experience with modern JavaScript frameworks (React preferred). Strong understanding of cloud platforms (AWS, Azure, or GCP) and familiarity with DevOps practices (CI/CD, containers, IaC). Experience designing and integrating APIs , databases (SQL/NoSQL), and distributed systems. Strong problem-solving skills with a pragmatic More ❯

problem-solving skills and a proactive approach to technical challenges Strong communication and collaboration skills, comfortable working in cross-functional teams Desirable: Exposure to cloud platforms (AWS, Azure, or GCP) Experience with containerisation (Docker, Kubernetes) Familiarity with CI/CD tools and automation pipelines Understanding of infrastructure-as-code tools (Terraform, Ansible, etc.) If you have a background in the More ❯

least one modern object-oriented programming language (preferably Java) and willingness to learn new technologies. Proven experience developing microservices and deploying them on major cloud providers (AWS, Azure, or GCP). Working knowledge of containers and container orchestration (e.g. Docker, Kubernetes). Experience with non-SQL databases (e.g. DynamoDB, MongoDB). Strong understanding of RESTful APIs and service integration patterns. More ❯

experience with Python and TypeScript in production environments. Solid understanding of modern software engineering practices (testing, version control, code review, CI/CD). Experience with cloud environments (AWS, GCP, or Azure). Strong problem-solving skills and a passion for writing great software. Nice to have: Experience with Docker/Kubernetes. Familiarity with serverless or microservice architectures. Interest in More ❯

level DevOps, MLOps, or related infrastructure-focused engineering role. Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes). Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm More ❯

and internal engineering teams. Technical Profile 7+ years’ experience in software engineering or cloud architecture , with recent focus on solution design and delivery leadership . Deep experience with AWS, GCP, or Azure , including infrastructure-as-code (Terraform, CloudFormation, Crossplane, Ansible). Proven ability to architect and deploy containerised systems (Docker, Kubernetes) at scale. Proficiency in one or more modern languages More ❯

FastAPI) PostgreSQL Experience with building and scaling SaaS platforms in production. Strong background in software architecture, microservices, and API design. Hands-on experience with cloud platforms (AWS, Azure, or GCP). Excellent communication skills, capable of motivating and aligning technical teams. Desirable: Experience with AI tools, APIs, ML pipelines, containerisation (Docker/Kubernetes), event-driven architecture (Kafka/RabbitMQ). More ❯

in Go. Proficiency in React and modern JavaScript/TypeScript. Solid understanding of microservices architecture, RESTful APIs, and service-to-service communication. Experience working with cloud infrastructure (e.g. AWS, GCP or Azure). Strong grasp of software engineering fundamentals: testing, documentation, performance, reliability. Excellent communication and collaboration skills: you're comfortable working cross-functionally with engineers, designers, and product managers. More ❯

direction and long-term roadmap. 🎯 What we’re looking for: 5+ years of experience as a Software Engineer, ideally in Python (3.10+). Proven experience developing cloud-native applications (GCP or AWS). Strong understanding of CI/CD pipelines (e.g. GitHub Actions) and containerisation (Docker). Experience designing scalable, secure systems using modern principles (SOLID, TDD). Familiarity with More ❯

and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data lakes, and cloud data platforms. Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration. Knowledge of containerization and orchestration tools (Docker, Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem-solving, analytical, and More ❯

reports directly to the Chief Technology Officer (CTO), ensuring close alignment with our technical vision and strategic roadmap. Responsibilities Maintain and evolve cloud infrastructure, primarily on Google Cloud Platform (GCP), with some exposure to AWS and Azure Write, review, and manage modular, reusable Terraform code Operate and enhance CI/CD pipelines using GitHub Actions Containerise and deploy backend applications … Infrastructure-as-Code using Terraform (modular and reusable patterns preferred) Strong foundation in Linux, networking, and container technologies Experience deploying and managing applications on at least one major cloud provider (GCP preferred; AWS or Azure acceptable) Experience working with relational databases in production environments (e.g., Postgres, MySQL), including basic performance troubleshooting, migrations, backups, and access control. Familiarity with observability tools … Ability to systematically troubleshoot and debug distributed systems Comfortable reading, modifying, and writing code in Python and/or Node.js Nice to Have Production experience with Google Cloud Platform (GCP) Knowledge of security and IAM best practices, including role design, policy management, and access boundaries Experience optimising CI/CD pipelines for speed, reliability, and developer experience (e.g., caching, incremental More ❯

and internal engineering teams. Technical Profile 7+ years’ experience in software engineering or cloud architecture , with recent focus on solution design and delivery leadership . Deep experience with AWS, GCP, or Azure , including infrastructure-as-code (Terraform, CloudFormation, Crossplane, Ansible). Proven ability to architect and deploy containerised systems (Docker, Kubernetes) at scale. Proficiency in one or more modern languages More ❯

of professional experience in backend or software engineering. Deep expertise in Python and frameworks such as FastAPI, Flask, or Django. Proven experience building and scaling APIs in cloud environments (GCP, AWS, or Azure). Strong understanding of version control, CI/CD workflows, and containerised development. Excellent communication and problem-solving skills. Bonus Points For: Experience in AI-driven or More ❯

Required Technical Expertise Deep experience with DevOps architecture and implementation Understanding of containers with heavy experience in at least one or more of: Docker, Kubernetes, Rancher Working experience with GCP cloud infrastructure/services Experience with infrastructure-as-code: Terraform Experience with GKE, Helm, and Harness Experience with Linux System Administration Understanding of high-availability, disaster-recovery, monitoring and logging More ❯

systems with performance and security in mind - Develop with TypeScript, React/Next.js, Node.js and Python - Manage SQL and NoSQL databases (PostgreSQL, MongoDB, Redis, etc.) - Deploy to Google Cloud (GCP) using Docker, Kubernetes and CI/CD pipelines - Work closely with designers, product leads and fellow engineers What You’ll Bring - Strong full stack experience with TypeScript and Python - Expertise More ❯

Experience with modern frontend frameworks (React, Vue, Angular) Solid understanding of database technologies (PostgreSQL, MySQL) and data modeling Experience designing and building RESTful APIs Experience with cloud platforms (AWS, GCP, Azure) and containerisation (Docker) Bonus: Experience with financial concepts, real estate data, or startup environments What's in it for me: Salary up to £90,000 dependent on experience Hybrid More ❯

and project delivery timelines. Stay current with emerging technologies, especially in AI, data processing, and scalable web architectures. Tech Stack Frontend: JavaScript, React Backend: Node.js, Python Infrastructure: AWS/GCP (experience with modern cloud environments is a plus) AI/ML: Exposure to applied AI, data models, or large language models preferred Tooling: GitHub, Docker, CI/CD pipelines About More ❯

APIs (e.g., LLMs, STT/TTS, or other complex services) into production systems. Experience with containerization (Docker, Kubernetes) and deploying/managing services on a major cloud platform (AWS, GCP, or Azure). This is a permanent position with hybrid working of two days a week in the central London office and the rest WFH. The salary is very much More ❯

APIs (e.g., LLMs, STT/TTS, or other complex services) into production systems. Experience with containerization (Docker, Kubernetes) and deploying/managing services on a major cloud platform (AWS, GCP, or Azure). This is a permanent position with hybrid working of two days a week in the central London office and the rest WFH. The salary is very much More ❯

JAX framework. Customer facing: Experience working directly with customers to solve applied problems, including product integration. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to More ❯

highly available, distributed services is essential, utilizing tools such as: | **Backend & Core Services** | Python, NodeJS, TypeScript | | **Frontend** | React, TypeScript, styled-components | | **Data & Persistence** | PostgreSQL, MySQL, BigQuery | | **Cloud & DevOps** | AWS, GCP, Docker, Terraform, GitHub Actions/CircleCI | | **Testing** | Jest, React Testing Library, Cypress, pytest | Compensation: Highly competitive salary and equity package, corresponding with experience and impact. Work Model: A truly flexible More ❯

oriented language (we use .NET) and any modern javascript framework (we use React) Experience working with databases (SQL and NoSQL), APIs, and web technologies. Experience with cloud platforms (AWS, GCP, Azure) Solid understanding of software engineering principles, including clean code, testing, and version control (git). Strong problem-solving skills and the ability to break down complex technical issues and More ❯

PySpark. Experience with data engineering tools (e.g., Airflow, Kafka, SQL, Parquet). Solid understanding of commodities markets , trading workflows, and financial instruments. Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes). Proven ability to work in fast-paced, high-pressure environments with direct exposure to the Front Office. Excellent communication skills and ability to translate technical More ❯