14 of 14 Cloud Functions Jobs in the UK

What You'll Do Infrastructure Automation & Platform Engineering - Design, implement, and manage scalable, secure, and highly available cloud infrastructure primarily on Google Cloud Platform (GCP). - Develop and maintain Infrastructure as Code solutions using Terraform and reusable infrastructure modules. - Build self-service platform capabilities that enable … scalability, and performance through automation and engineering improvements. - Monitoring & Observability - Implement enterprise monitoring, alerting, logging, and observability solutions. Utilize tools including: - Prometheus - Grafana - Google Cloud Monitoring - ELK/Elastic Stack - OpenTelemetry - Proactively identify issues before they impact customers and engineering teams. - Develop dashboards and operational reporting for platform ...

operate our business. To support our shift toward becoming a digital-first business, we are seeking an experienced Senior Platform Engineer with deep Google Cloud Platform (GCP) expertise and strong working knowledge of AWS. The role exists to design, build, and maintain the multi-cloud infrastructure … scalable, automated multi-cloud environments, manage continuous delivery pipelines, and drive multi-cloud integration patterns. Bringing strong expertise in Google Cloud Platform (GCP) along with solid AWS knowledge, you will provide technical leadership, mentor engineers, and drive operational excellence across both cloud ...

week in the office Duration: 6 months initially You must have strong expertise in designing, architecting, and delivering enterprise-scale data platforms on Google Cloud Platform (GCP). The ideal candidate will have extensive experience with BigQuery, cloud data migration, data warehousing, and analytics solutions while … data warehouses and ETL workloads to GCP and BigQuery. Design optimized BigQuery schemas, partitioning, clustering, and performance tuning strategies. Develop data pipelines using Cloud Dataflow, Dataproc, Cloud Composer, Cloud Functions, Pub/Sub, and Cloud Storage. Work with client business ...

week in the office Duration: 6 months initially You must have strong expertise in designing, architecting, and delivering enterprise-scale data platforms on Google Cloud Platform (GCP). The ideal candidate will have extensive experience with BigQuery, cloud data migration, data warehousing, and analytics solutions while … data warehouses and ETL workloads to GCP and BigQuery. Design optimized BigQuery schemas, partitioning, clustering, and performance tuning strategies. Develop data pipelines using Cloud Dataflow, Dataproc, Cloud Composer, Cloud Functions, Pub/Sub, and Cloud Storage. Work with client business ...

/desired skills & qualifications Required Azure/AWS/GCP (Azure preferred) Azure Pipelines/GitHub Actions/GitLab CI (Azure Pipelines preferred) Cloud‐based infrastructure, CI/CD pipelines, monitoring, and alerting tooling Clear and concise coding techniques Foundational technical design and architecture skills Self‐guided research … C#/Java (C# preferred) ASP.NET Core/general web development (ASP.NET Core preferred) Azure Functions/AWS Lambda/Google Cloud Functions (Azure Functions preferred) Azure Service Bus/RabbitMQ/similar messaging technologies (Azure Service Bus preferred) Strong understanding ...

accuracy, traceability and performance. You will support the migration of legacy SQL Server solutions to GCP, while helping to design and deliver new cloud‐native reporting systems in BigQuery. The work spans data modelling, pipeline development, validation and automation, with AI‐assisted development also playing a part … Strong Google BigQuery experience. Advanced SQL development skills, including complex queries, stored procedures and performance tuning. Working knowledge of GCP services such as Cloud Storage, Cloud Functions, Pub/Sub or Cloud Composer. Experience of building ETL or ELT data pipelines. Exposure ...

accuracy, traceability and performance. You will support the migration of legacy SQL Server solutions to GCP, while helping to design and deliver new cloud-native reporting systems in BigQuery. The work spans data modelling, pipeline development, validation and automation, with AI-assisted development also playing a part … Strong Google BigQuery experience. Advanced SQL development skills, including complex queries, stored procedures and performance tuning. Working knowledge of GCP services such as Cloud Storage, Cloud Functions, Pub/Sub or Cloud Composer. Experience of building ETL or ELT data pipelines. Exposure ...

accuracy, traceability and performance. You will support the migration of legacy SQL Server solutions to GCP, while helping to design and deliver new cloud-native reporting systems in BigQuery. The work spans data modelling, pipeline development, validation and automation, with AI-assisted development also playing a part … Strong Google BigQuery experience. Advanced SQL development skills, including complex queries, stored procedures and performance tuning. Working knowledge of GCP services such as Cloud Storage, Cloud Functions, Pub/Sub or Cloud Composer. Experience of building ETL or ELT data pipelines. Exposure ...

teams. Lead functional projects or work streams focused on AI infrastructure and tooling. What will you bring to the table? Experience working with cloud platforms like AWS (EC2, ECS, S3, Lambda, Fargate, DynamoDB/RDS) or GCP (Compute Engine, Cloud Storage, Cloud Functions ...

infrastructure, ensuring efficient and scalable data pipelines. You will be responsible for hands‐on implementation and optimization of data systems on the Google Cloud Platform (GCP), contributing to critical projects while mentoring junior Engineers. This role focuses on delivering technical solutions, applying best practices, and driving innovation within … maintain scalable data pipelines using modern data engineering tools and technologies on our GCP stack. Build and optimize our lake house on Google Cloud Platform (GCP). Implement data ingestion, transformation, and loading processes for various data sources (e.g., databases, APIs, cloud storage). Ensure data ...

alerting (e.g., Prometheus, Grafana, Datadog, Zabbix)Logging and tracing (e.g., ELK stack, Fluentd, OpenTelemetry, JaegerIdentity and access management (e.g., LDAP, Kerberos, OAuth2)Cloud-native services (e.g., S3, EBS, GKE, EKS, Cloud Functions)Git-based workflows and version controlAgile methodologies and DevOps cultureTest-driven infrastructure … Master's degree in Computer Science, Engineering, or a related fieldNice to have: CI/CD pipelines (e.g., GitLab CI, Jenkins, ArgoCD)Hybrid cloud architecture and workload migration strategiesVirtualization technologies (e.g., KVM, VMware, Hyper-V)Contributions to open-source infrastructure projects or internal developer platformsContainerization and orchestration (e.g. ...

solutions. The role requires deep expertise in LLMs, Agentic AI, NLP, RAG architectures, MLOps, and cloud-native AI platforms on Google Cloud Platform (GCP). The architect will be responsible for defining AI solution strategies, driving technical direction, establishing architecture standards, and ensuring secure, scalable … testing NLP and text analytics Generative AI Prompt Engineering AI Agents and Multi-Agent Systems Copilot and Conversational AI development BigQuery Dataflow Cloud Functions GKE Pub/Sub IAM and Security Controls MLOps/LLMOps CI/CD for ML Version Control Automated Evaluation Monitoring & Observability ...

with cross-functional teams to create end-to-end data solutions that support our analysts and business teams Design, implement, and optimise a cloud-based Extract-Load-Transform (ELT) platform to reshape RVU’s data infrastructure and data warehouse Become an expert on handling behavioural data from more … programming languages: Python, Java, GO or other Experience with AWS or GCP and their products (S3, GCS, Kinesis, Pub/Sub, Lambda/Cloud functions, DataProc) Experience with one of the main databases for analytics (Redshift, BigQuery, Snowflake or other). Nice to have Experience modelling ...

core of everything they do. What You'll Do: Take ownership of the end-to-end design and development of scalable, cloud-based data infrastructure, with a primary focus on Google Cloud Platform (GCP).Lead, mentor, and develop the existing team of two data engineersBuild … strategies. What You'll Bring: Deep expertise in GCP – you'll bring hands-on experience with GCP tools such as BigQuery, Dataflow, and Cloud Functions. Proficiency in Python, SQL, and modern data engineering tools, plus familiarity with JavaScript for cross-functional collaboration. A strong background in Snowflake ...