76 to 100 of 725 GCP Jobs in London

with Postgres. Familiarity with NoSQL databases (document store/key-value store) is a plus. Experience with containerization technologies (Docker, Kubernetes). Hands-on experience with Google Cloud Platform (GCP) and configuration management (ideally using Terraform). Familiarity with Google Cloud Build for CI/CD actions, deployments, and builds. People Source Consulting Ltd is acting as an Employment Agency More ❯

across teams do great things here at Starling, to continue changing banking for good. Responsibilities: Understand, build and develop batch/file based data data pipelines in AWS and GCP, using file transfers, REST APIs etc Build tools to monitor, report and control data pipelines Identify, design, and implement internal process improvements: automating manual processes, optimising data delivery, etc. Work … with cloud-based infrastructure (GCP) for ingesting data into our warehouse Collaborate with other full stack developers and data engineers to help meet the business goals Requirements The main part of our Tech Stack is listed below, we don't ask that you have experience in all of this, but if you do, that's great! Java, which makes up … the majority of our backend codebase AWS & GCP - we're cloud-native Microservice based architecture Kubernetes (EKS) TeamCity for CI/CD (lots of teams are releasing code 15-20 times per day!) Terraform and Grafana In addition to this core stack, this role is focused on the engineering required to maintain and warehouse a wide variety of data sources More ❯

will play a key role inanalysing performance issues, troubleshooting bottlenecks, and designing robust solutionsacross SAP landscapes, with exposure to cutting-edge technologies like SAP BTP, cloud platforms (AWS/GCP), Docker, and Kubernetes. Primary Responsibilities: Collaborate with functional and technical teams to diagnose and resolve SAP system performance challenges. Design and execute performance benchmarking strategies for SAP S/4HANA More ❯

at least one LLM based framework (LangChain, LangGraph, LangSmith, LlamaIndex, Qdrant, etc ) Strong experience with asynchronous queues (e.g., Kafka, RabbitMQ) and asynchronous APIs Deep understanding of cloud infrastructure (AWS, GCP) and experience deploying and managing applications at scale. Strong understanding of data lake architectures, including experience with data ingestion, storage, processing, and retrieval of large volumes of structured and unstructured More ❯

advanced machine learning techniques to create solutions to challenging business problems. We prioritise clean, well-tested code with a culture of documentation and knowledge sharing. Our tech stack includes GCP, Python, GitHub, PyTorch, TensorFlow, Scikit-learn, and XGBoost. With mature infrastructure and dedicated teams for Data Engineering, Analytics, and Platform Engineering, our Data Scientists enjoy high autonomy. We tackle interesting … Experience designing and analysing large-scale A/B test experiments Mastery of workflow orchestration technologies such as Airflow, Dagster or Prefect Expert knowledge of technologies such as: Google Cloud Platform, particularly Vertex AI Docker and Kubernetes Infrastructure as Code Experience establishing data science best practices across an organisation Perks of joining us: Company pension contributions at 5%. Individualised More ❯

on data products. Data Expertise: Deep understanding of data management principles, data warehousing, data modelling, and schema design. Technical Skills: Proficiency in SQL. Strong experience with Google Cloud Platform (GCP) and BigQuery. Experience with data visualization tools, particularly Power BI. Strong understanding of API integrations. Solid understanding of data privacy regulations (GDPR and other data capture regulations). Stakeholder Management More ❯

on data products. Data Expertise: Deep understanding of data management principles, data warehousing, data modelling, and schema design. Technical Skills: Proficiency in SQL. Strong experience with Google Cloud Platform (GCP) and BigQuery. Experience with data visualization tools, particularly Power BI. Strong understanding of API integrations. Solid understanding of data privacy regulations (GDPR and other data capture regulations). Stakeholder Management More ❯

arisen for a Senior DevOps Engineer to join the FinOps Engineering team within Enabling Services. In this pivotal role, you'll enable teams to build cost-effective solutions on GCP while maintaining agility and fostering innovation. This position is perfect for engineers who are passionate about optimising cloud usage, enhancing cost observability, and championing a FinOps culture. What you'll … do Partner with engineering, finance and product teams to drive cost-efficiency across GCP Design and implement automation to boost cost optimisation Build infrastructure and pipelines using Git, Terraform and Harness. Contribute to cost visibility by using cost and usage data to enable self-service reporting Drive sustainable usage practices (e.g. terminating idle resources, autoscaling) Translate technical decisions into cost … to embed cost-awareness into design, development, deployment, and monitoring What you'll need Experience in a DevOps, Platform Engineering or SRE role, with strong hands-on experience in GCP Clear understanding of FinOps principles and how they apply to engineering responsibilities Experience of Infrastructure as Code, CI/CD and Source Code Management using tools such as Terraform, Jenkins More ❯

cloud and hybrid environments. Expertise in data modelling, SQL, and platforms like Snowflake, dbt, Power BI, and Databricks. Fluency in Python and knowledge of multiple cloud providers (AWS, Azure, GCP). Understanding of security principles including role-based access control. Experience with legacy-to-cloud data migration and API integration testing (e.g. using Postman). Experience leading data strategy and … Familiarity with Agile methodologies, TDD/BDD, and modern CI/CD practices. Strong communication and stakeholder influence skills. Practical experience with a major cloud platform (AWS, Azure, or GCP). Hands-on experience with Snowflake and dbt. Familiarity with varied data formats including CSV, JSON, and XML. Deep understanding of data modelling and data architecture principles. Any domain experience More ❯

Join a rapidly growing team to help BCB build and scale our products and deliver them to clients. We're seeking a candidate with strong expertise in software engineering, microservices architecture, and cloud platforms, coupled with a collaborative mindset, strong More ❯

dbt Cloud (modular development, CI/CD integration, testing, and documentation) Snowflake (performance tuning, SQL, role-based access, cost optimisation) SQL (analytical, transformation, and optimisation) Cloud environments (e.g., AWS, GCP, Azure). Familiarity with version control (Git) and modern deployment workflows Excellent problem-solving skills and ability to resolve data issues quickly and effectively Experience with data pipeline orchestration (Airflow More ❯

articulate to small and large audiences - Ability to juggle tasks and projects in a fast-paced environment PREFERRED QUALIFICATIONS - Professional experience with cloud offerings such as AWS, Azure, Google Cloud Platform etc. - Programming or scripting skills with a combination of Java, Python Perl, Ruby, C#, and/or PHP - Previous experience as a Software Engineer, Developer, DevOps Engineer etc. - Understanding More ❯

Job Title:Technical Architect - Analytics & Payment Systems Location: London Company: BritBox International Reporting to: Principal Architect Contract Type: 12 month Fixed term contract About Us Welcome to BritBox, the ultimate streaming destination for British TV. We bring you an unparalleled More ❯

ecosystems. Experience programming in at least two (but not all!) of the following languages: Java, Groovy, Scala, Python, Go, C++, JavaScript, .Net, PowerShell or Bash/Shell. Knowledge of GCP and Azure cloud platforms. Strong expertise in DevOps tools Experience with Chaos Engineering, Day-2 Ops, Resiliency and Disaster Recovery Planning and execution Technical architecture and Microservice design principles. About More ❯

Senior Technical Business Analyst - The role Join our Product team as a Senior Technical Business Analyst and help shape the future of global finance. We're on a mission to build the world's leading platform for both crypto and More ❯

issues and identify possible workarounds in broad, complex, and unique environments with mixed applications and protocols required Experience with containers, orchestrators like Kubernetes, Docker, Linux, Cloud Providers (AWS, Azure, GCP), CI/CD, Terraform, Ansible, Container Registries, Serverless a plus Existing knowledge of, and experience with public cloud platform (XaaS) features, capabilities, and best use Required experience with TCP/ More ❯

with streaming data pipelines , real-time inference , and distributed ML infrastructure. Contributions to open-source ML projects or research in applied AI/LLMs. Certifications in Azure, AWS, or GCP related to ML or data engineering. Job Title Once hired this person will have the job title Senior Machine Learning Engineer Total Rewards: At Enable, we're committed to your More ❯

technology choices. These are some of the things we use at the moment: TypeScript, React, styled-components Python, NodeJS ️ PostgreSQL, BigQuery, MySQL Jest, React Testing Library, Cypress, pytest ️ AWS, GCP Kubernetes, Docker, Terraform, GitHub, CircleCI How we expect you to work ️ We expect you to work in these ways, as well as encouraging and enabling these practices from others: Collaborate More ❯

Senior Technical Business Analyst -The role Join our Product team as a Senior Technical Business Analyst and help shape the future of global finance. We're on a mission to build the world's leading platform for both crypto and More ❯

technologies form the foundation of our platform. While expertise in all areas is not required, experience with them is a plus: Java, primary language for our backend codebase AWS & GCP - we're cloud-native Kubernetes (EKS) Microservice based architecture RESTful APIs PostgreSQL, JDBI, Flyway TeamCity for CI/CD Terraform and Grafana The Team: The Core Banking group is seeking More ❯

ABOUT LIV GOLF The LIV Golf League is the world's only global golf league featuring 13 teams, a 14-tournament schedule, and many of the world's best golfers. Launched in 2022, the League was designed to expand the More ❯

trends and developments in vulnerability management, security standards, and regulations Strong engineering and automation background with a keen interest in Vulnerability Management Strong technical knowledge, including: Cloud Experience (AWS, GCP) Kubernetes and Container experience Infrastructure as code (Terraform) Dashboard creation, front-end experience Proficiency with at least one programming language (ideally Java, Golang, Python, SQL.) Strong automation skills with CI More ❯

strong focus on machine learning. Professional Experience: 5+ years of hands-on experience deploying Computer Vision models in production environments. Strong proficiency in Python. Experience with cloud environments (AWS, GCP) and tools for ML model deployment (Docker, Kubernetes, etc.). Technical Skills: In-depth understanding of computer vision techniques, including image classification, detection, and segmentation. Familiarity with Large Vision Models More ❯

and Competencies Proficiency in at least one and preferably two programming languages (e.g., Python, Rust, C/C C#). Cloud Platforms: Hands-on experience with AWS, Azure, or GCP, and familiarity with cloud-native architecture. Hands-on experience managing large-scale Kubernetes deployments. Expertise managing infrastructure as code using terraform. Problem-Solving Skills: Strong analytical and problem-solving. Processes More ❯

non-technical stakeholders Demonstrable experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in data warehouses More ❯