1 to 25 of 3,451 GCP Jobs in the UK

/ELT or streaming data pipelines. Exposure to microservices and distributed system concepts. Experience working with cloud platforms, ideally AWS, but Azure/GCP also acceptable. Understanding of distributed compute, large‐scale data systems, and performance considerations. DevOps & Engineering Practices Experience with CI/CD tools (Azure DevOps, GitHub Actions … orchestration platforms (Kubernetes/EKS). Certifications & Tools Exposure to enterprise data platforms (Databricks, Snowflake, BigQuery, or similar). Cloud certifications (AWS, Azure, GCP) are beneficial but not required. Other Requirements Minimum 3 years’ experience working on data engineering or large‐scale data solutions. Comfortable working in Agile delivery teams. ...

Introduction At IBM Consulting UK FutureNow, you’ll build a career at the forefront of hybrid cloud and AI, working with leading clients across the public and private sectors. You’ll collaborate with top industry ...

platforms – You will design and implement scalable, secure and cost-efficient platforms that power both operational and analytical workloads, leveraging leading cloud technologies (AWS, GCP, Azure).We **ENABLE** hybrid cloud transformation – You will design and implement modern hybrid data architectures (e.g. Snowflake, Redshift, BigQuery) and drive the migration of legacy … Master’s degree in Computer Science, Information Technology or a related field.* Industry Expertise: 5+ years’ experience designing and managing cloud architectures (AWS, GCP and/or Azure), including hybrid and multi-cloud solutions.* Cloud Experience: Strong expertise in cloud-native services (containers, Kubernetes, serverless, microservices) combined with deep knowledge ...

analytics and AI platforms – design and implement scalable, secure and cost-efficient platforms that power operational and analytical workloads leveraging leading cloud technologies (AWS, GCP, Azure). ENABLE hybrid cloud transformation – design and implement modern hybrid data architectures (e.g., Snowflake, Redshift, BigQuery) and drive migration of legacy systems to cloud … Master’s degree in Computer Science, Information Technology or a related field. Industry Expertise: 5+ years’ experience designing and managing cloud architectures (AWS, GCP and/or Azure), including hybrid and multi-cloud solutions. Cloud Experience: Strong expertise in cloud-native services (containers, Kubernetes, serverless, microservices) combined with deep knowledge ...

years' experience in a Cloud, Platform, DevOps or SRE role in a commercial environment. Production experience with a major cloud provider (AWS, Azure or GCP). Strong Linux administration and troubleshooting (process management, memory management, signals, etc.). Production experience with containerisation and orchestration (Docker, Kubernetes). Infrastructure-as-Code ...

Clarity, JIRA, Asana)Preferred Skills and Experience Hands-On experience of working on Windows/Linux Servers. Cloud services (AWS/Azure/GCP). Managing incidents, change requests, service requests and driving TRT (Technical Recovery Team) calls. Strong problem solving skills on these platforms Minimum knowledge and understanding ...

some or all of the following: Proven experience in data engineering, data modelling, and architecture, preferably on a major cloud platform (Azure, AWS, or GCP). Strong experience designing and building scalable data platforms, data products and analytics solutions using modern lake house or cloud data warehouse technologies Proficiency writing ...

modern observability platforms (e.g., Dynatrace, AWS Cloudwatch, Prometheus, Grafana, ELK Stack, Splunk, OpenTelemetry).* Cloud & Infrastructure: Advanced knowledge of major cloud platforms (AWS, Azure, GCP), containerization (Docker, Kubernetes), and Infrastructure as Code (Terraform, Ansible).* Programming & Automation: Strong programming and scripting skills (e.g., Python, Go, Shell) with a focus ...

/ELT Pipeline Development Build, maintain, and improve ELT/ETL pipelines that ingest billing, usage, and tagging data from AWS, Azure, and GCP into CBRE's centralized FinOps data store, applying modern pipeline patterns including event‐driven ingestion, incremental loading, and change data capture. Design and implement layered data … cloud environment. Experience working with cloud billing data, FinOps tooling, or cloud cost management across at least one major cloud provider (Azure, AWS, or GCP). Technical Skills Data engineering: strong proficiency with Apache Spark, dbt, Airflow/Azure Data Factory or equivalent orchestration, Data Lake/Apache Iceberg ...

Technology Consulting | London, Leeds, Manchester or Newcastle Hybrid Working (3 Days Onsite) | Active SC Clearance Required Shape the Future of Data, AI and Cloud Transformation Are you passionate about building modern data platforms and helping ...

An extraordinarily talented group of individuals work together every day to drive TNS' success, from both professional and personal perspectives. Come join the excellence! Overview The Senior Enterprise Architect – Network & Public Cloud is a strategic ...

JOB DESCRIPTION Shape how hundreds of thousands of UK investors use data to make confident, informed investment decisions. Join a team building modern, cloud-native data platforms that enable analytics, regulatory reporting, and data-driven ...

Shape how hundreds of thousands of UK investors use data to make confident, informed investment decisions. Join a team building modern, cloud-native data platforms that enable analytics, regulatory reporting, and data-driven products at ...

architectures or processes for AI/ML systems in production environments supporting large user bases Understanding of IT platforms i.e., cloud platforms (AWS, Azure, GCP), containerization (Kubernetes, Docker), and MLOps frameworks and practices Understanding of the use of Waterfall vs Agile practices including use of Kanban, SAFE, etc Deep understanding ...

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, PyTorch ...

## Sr. Solutions Architect - Data CenterApplylocations: London, United Kingdom: Milton Keynes, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: JR3369# **About Us****Since 1989, SHI International Corp. has helped organizations change the world ...

Kubernetes in production environments, including cluster administration, workload management, networking, security, and performance optimisation Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform, with a strong understanding of managed cloud services Hands‐on experience with GitOps methodologies and related tooling Experience with infrastructure‐as‐code tools such ...

supporting our client, one of the Big Four, with an experienced Google Cloud Platform (GCP) Architect role, to join a cloud programme for a Tier 1 bank, based in Glasgow. Location: Glasgow/On-site 5 days Duration: 6 months initially (with potential extension) Contract Start Date: Immediate … supporting our client, one of the Big Four, with an experienced Google Cloud Platform (GCP) Architect role, to join a cloud programme for a Tier 1 bank, based in Glasgow. Role: Google Cloud Platform (GCP) Architect role Day rate: £400 – 450 per day (inside IR35) Pay framework: Umbrella Company Location ...

Capabilities, and Skills: Formal training or certification on software engineering concepts. Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP).Advanced knowledge of containerization and orchestration platforms (Docker, Kubernetes, ECS, etc.).Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within ...

Capabilities, and Skills: Formal training or certification on software engineering concepts. Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP). Advanced knowledge of containerization and orchestration platforms (Docker, Kubernetes, ECS, etc.). Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development ...

Capabilities, and Skills: Formal training or certification on software engineering concepts. Hands‐on experience with at least one major cloud provider (AWS, Azure, or GCP). Advanced knowledge of containerization and orchestration platforms (Docker, Kubernetes, ECS, etc.). Expertise in Developer Experience (DevEx) and CI/CD tools (Jenkins, Spinnaker ...

Experience developing solutions within secure or regulated environments. Desirable Skills & Experience Experience deploying and managing applications in cloud environments. Experience with Google Cloud Platform (GCP) Experience with AWS or Azure cloud services. Knowledge of containerisation technologies such as Docker and Kubernetes. If you receive suspicious outreach claiming to be from ...

DescriptionRole – AI Evangelist (Senior Technology Architect) Technology – AI/ML/Gen AI, Data Science, Poly Cloud – Azure, AWS, GCP Location – London – UKBusiness Unit – TOPAZDLVRYCompensation – Competitive (including bonus)Job Summary: We are seeking a highly skilled and experienced Senior Architect/Consultants to lead our Generative AI Technologies team. ...

Design, build, and maintain software solutions using Java, Python, C#/.NET and/or TypeScript Develop cloud‐native applications across AWS, Azure, or GCP Contribute to system architecture and make key technical decisions Build and integrate APIs, event‐driven systems, and distributed applications Collaborate with platform teams to ensure … software Required Strong experience building production systems using Java, Python, C#/.NET or TypeScript Solid experience working with cloud platforms (AWS, Azure, or GCP) Good understanding of system design, distributed systems, and scalable architectures Experience building and consuming APIs (REST and event‐based systems) Comfortable working across the full ...

processes for AI/ML systems in production environments supporting large user bases Understanding of IT platforms i,e cloud platforms (AWS, Azure, GCP), containerization (Kubernetes, Docker), and MLOps frameworks and practices Understanding of the use of Waterfall vs Agile practices including use of Kanban, SAFE, etc Deep understanding ...