1,426 to 1,450 of 3,141 GCP Jobs in England

working at the intersection of data engineering, cloud technologies and marketing technology. Key Responsibilities Design, build and maintain cloud-based data solutions using Google Cloud Platform (with exposure to AWS and Azure). Develop and manage ELT pipelines to ensure accurate, reliable and timely data delivery across multiple client projects. ...

fear rather than excitement, then this isnt a fit. Stack Python backend, Typescript, a Postgres-family database with geospatial support, cloud-native infrastructure on GCP, and a modern frontend framework for the client-facing interface. We'll go deep on the architecture with you during the process. Compensation and equity ...

will design scalable cloud architectures, collaborate with customers to define requirements, and ensure secure integration with existing infrastructures. You will work with AWS/GCP/Azure, Kubernetes, Terraform, and IaC; drive Terraform modules, automation, and best practices for availability, security, and cost optimization. Excellent communication and ownership required. #J ...

Programmer Software Engineer Developer Python Amazon Web Services AWS Strands Agents AI LangChain LangGraph CrewAI Google AutoGen Pydantic AI Bedrock PydanticAI AgentCore ADK Azure GCP Cloud Asset Manager Buy Side Investment Management Fund Hedge Fund Finance Financial Services Banking Front Office Trading Asset Manager) required by our client in finance … Engineer (Programmer Software Engineer Developer Python Amazon Web Services AWS Strands Agents AI LangChain LangGraph CrewAI Google AutoGen Pydantic AI Bedrock AgentCore ADK Azure GCP Cloud Asset Manager Buy Side Investment Management Fund Hedge Fund Finance Financial Services Banking Front Office Trading Asset Manager) required by our client in finance ...

data lineage Expertise in stream processing (Apache Flink, Kafka Streams, ksqlDB) Strong Java, Python, or Scala skills Hands-on experience with AWS/GCP/Azure & Kubernetes CI/CD & infrastructure automation experience (Ansible, CFK)If you’re passionate about **event-driven architectures** and building next-gen data platforms ...

Contribute to technical hiring, onboarding and team capability development. What Youll Bring Strong senior/lead-level experience in data engineering. Deep experience with GCP, particularly BigQuery, Dataflow, Pub/Sub, Cloud Storage and Cloud Composer/Airflow. Advanced Python and SQL skills with a strong software engineering mindset. Proven … architecture decisions and communicate technical trade-offs clearly. Desirable: Spark/DataProc, Looker or similar BI tools, analytics engineering, data mesh/platform architecture, GCP cost optimisation, and experience within retail or e-commerce environments. Benefits Performance-related bonus Healthcare and employer pension contributions 25 days holiday plus birthday ...

seed round (+$1m) from a position of strength. And now we’re on a fast growth trajectory. Tech we use at present: Google Cloud Platform, managed with Terraform; Elixir for APIs, storage, and external integration; Python for the Machine Learning pipelines; Reason React and GraphQL for the frontend … meet the majority of these competencies. Bonus points if: You have experience in any functional languages (particularly Elixir). You have experience in Google Cloud Platform, Terraform, and CI/CD tools. You are interested in gaining full-stack skills. Why Programmai? Work with highly talented, passionate people and have ...

BigQuery Experience in API development using tools such as FastAPI or Flask , enabling data access and integration across systems Solid knowledge of cloud platforms (GCP and/or AWS), with the ability to design and deploy data solutions at scale Experience with IAC and CI/CD pipelines to ensure ...

coding involvement Senior Engineer who led cross-team delivery Experience in SaaS, AI, or data-driven platforms. Familiarity with cloud infrastructure (Azure, AWS, GCP). Experience working in scale-up environments with evolving priorities. Exposure to ML/AI systems or knowledge-based platforms Benefits of joining us Cutting-Edge ...

About Us Acceldata is the market leader in Enterprise Data Observability. Founded in 2018 and backed by top investors including Insight Partners, March Capital, Lightspeed, Sorenson Ventures, Industry Ventures, and Emergent Ventures, we are a ...

Infrastructure fundamentals (e.g., Datacenter, Networks, Compute, Storage) Cloud and Infrastructure Migrations, Operations and Lifecycle management Cloud services (e.g., Amazon Web Services, Microsoft Azure, Google Cloud Platform) Cloud and Infrastructure Security & Resilience (DR, HA, Backup & Recovery) Virtualization Platforms (e.g., VMware, Hyper-V, Nutanix) Container Platforms (e.g., Openshift, EKS, AKS, GKS) Infrastructure ...

Infrastructure fundamentals (e.g., Datacenter, Networks, Compute, Storage) Cloud and Infrastructure Migrations, Operations and Lifecycle management Cloud services (e.g., Amazon Web Services, Microsoft Azure, Google Cloud Platform) Cloud and Infrastructure Security & Resilience (DR, HA, Backup & Recovery) Virtualization Platforms (e.g., VMware, Hyper-V, Nutanix) Container Platforms (e.g., Openshift, EKS, AKS, GKS) Infrastructure ...

confidently command a room of engineers and just as easily simplify complex concepts for senior decision‐makers Strong technical command of modern cloud infrastructure (GCP, AWS, Azure) and machine learning concepts A "hacker mindset" with a strong engineering foundation: you are a creative problem‐solver who builds robust, scalable … integrations, and custom tooling; experience with REST APIs and SDKs is strongly preferred Hands‐on experience with at least one major cloud platform (GCP, AWS, or Azure), including data storage, compute, and deployment patterns common in ML workflows Solid understanding of machine learning concepts and the ML development lifecycle — from ...

multi-agent systems or LLM-based products, ideally at meaningful scale Hands-on experience with at least one major cloud AI platform (AWS Bedrock, GCP Vertex AI or Azure AI Studio) Experience designing eval frameworks, red-teaming processes and quality measurement for AI systems A portfolio or track record that … Foundation model providers: Claude Code/Codex/Gemini, OpenAI or AWS Bedrock Vector databases: Pinecone, Weaviate, LlamaIndex or pgvector Cloud platforms: AWS Bedrock, GCP Vertex AI or Azure AI Studio CI/CD for AI: version-controlled prompts, automated testing, deployment pipelines EU AI Act compliance, bias auditing ...

multi-agent systems or LLM-based products at enterprise scale Deep hands-on experience with at least one major cloud AI platform (AWS Bedrock, GCP Vertex AI or Azure AI Studio) Experience designing eval frameworks, red-teaming processes and quality measurement for AI systems A portfolio or track record that … Foundation model providers: Claude Code/Codex/Gemini, OpenAI or AWS Bedrock Vector databases: Pinecone, Weaviate, LlamaIndex or pgvector Cloud platforms: AWS Bedrock, GCP Vertex AI or Azure AI Studio CI/CD for AI: version-controlled prompts, automated testing, deployment pipelines EU AI Act compliance, bias auditing ...

multi-agent systems or LLM-based products, ideally at meaningful scale Hands-on experience with at least one major cloud AI platform (AWS Bedrock, GCP Vertex AI or Azure AI Studio) Experience designing eval frameworks, red-teaming processes and quality measurement for AI systems A portfolio or track record that … Foundation model providers: Claude Code/Codex/Gemini, OpenAI or AWS Bedrock Vector databases: Pinecone, Weaviate, LlamaIndex or pgvector Cloud platforms: AWS Bedrock, GCP Vertex AI or Azure AI Studio CI/CD for AI: version-controlled prompts, automated testing, deployment pipelines EU AI Act compliance, bias auditing ...

Spark optimization. Programming Languages: Advanced proficiency in Python/PySpark and SQL. Cloud & Infrastructure: Strong background in cloud data platforms (Azure, AWS, or GCP) and cloud-native architectures. Engineering Best Practices: Experience with CI/CD pipelines, version control (Git), and infrastructure-as-code. Leadership: Demonstrated experience leading engineering teams ...

areas: Infrastructure fundamentals (e.g., Datacenter, Networks, Compute, Storage)Cloud and Infrastructure Migrations, Operations and Lifecycle managementCloud services (e.g., Amazon Web Services, Microsoft Azure, Google Cloud Platform)Cloud and Infrastructure Security & Resilience (DR, HA, Backup & Recovery)Virtualization Platforms (e.g., VMware, Hyper-V, Nutanix)Container Platforms (e.g., Openshift, EKS, AKS, GKS)Infrastructure ...

turn customer problems into working products Drive direct impact in a fast-moving, high-ownership, cross-functional team Key Technologies Cloud Platforms: Google Cloud Platform Programming Languages: Python, JavaScript, and TypeScript Frameworks: FastAPI, Vue.js Container-based and Serverless architectures Databases: Postgres SQL DevOps and Monitoring: GitHub Actions, Kubernetes, DataDog ...

live coding is a required interview stageHands-on experience designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP)Working knowledge of distributed data systems: Apache Spark, Delta Lake, or equivalent (Hadoop, Kafka, Flink)Experience leading technical customer conversations — discovery, whiteboarding, architecture reviewsFamiliarity with ...

coding is a required interview stage Hands‐on experience designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP) Working knowledge of distributed data systems: Apache SparkTM, Delta Lake, or equivalent (Hadoop, Kafka, Flink) Experience leading technical customer conversations — discovery, whiteboarding, architecture reviews Familiarity ...

coding is a required interview stage Hands‐on experience designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP) Working knowledge of distributed data systems: Apache SparkTM, Delta Lake, or equivalent (Hadoop, Kafka, Flink) Experience leading technical customer conversations — discovery, whiteboarding, architecture reviews Familiarity ...

live coding is a required interview stageHands-on experience designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP)Working knowledge of distributed data systems: Apache Spark, Delta Lake, or equivalent (Hadoop, Kafka, Flink)Experience leading technical customer conversations — discovery, whiteboarding, architecture reviewsFamiliarity with ...

live coding is a required interview stageHands-on experience designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP)Working knowledge of distributed data systems: Apache Spark, Delta Lake, or equivalent (Hadoop, Kafka, Flink)Experience leading technical customer conversations — discovery, whiteboarding, architecture reviewsFamiliarity with ...

live coding is a required interview stageHands-on experience designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP)Working knowledge of distributed data systems: Apache Spark, Delta Lake, or equivalent (Hadoop, Kafka, Flink)Experience leading technical customer conversations — discovery, whiteboarding, architecture reviewsFamiliarity with ...