3 of 3 Log Analytics Jobs in the City of London

Azure AI Foundry , Azure AI Document Intelligence, Azure Data Factory, Azure ML Service, Azure Data bricks, Azure Key Vault, Azure BLOB Storage Account, Azure Log Analytics, Synapse Analytics, Azure DevOps . You should have hands-on experience in Deep knowledge of LLMs (prompting, system prompts, grounding, evaluation ...

maintain scalable cloud-based data infrastructure using Azure and Databricks. You'll play a key role in ensuring that data pipelines, architecture, and analytics environments are reliable, performant, and secure. Key Responsibilities Platform Development & Maintenance Design and implement data pipelines using Azure Data Factory, Databricks, and related Azure services. … Build ETL/ELT processes to transform raw data into structured, analytics-ready formats. Optimise pipeline performance and ensure high availability of data services. Infrastructure & Architecture Architect and deploy scalable data lake solutions using Azure Data Lake Storage. Implement governance and security measures across the platform. Leverage Terraform ...

automation, gated releases, and environment governance Infrastructure-as-Code (Bicep, ARM, Terraform) Containerisation (Docker, AKS) and serverless (Azure Functions) Monitoring and observability (Application Insights, Log Analytics) Secrets management and vulnerability scanning (Key Vault, SonarQube, OWASP) Architecture & Design Microservices and event-driven design (Service Bus, Event Grid, Kafka) Domain ...