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Lead Azure Cloud Engineer

Job in Cardiff, Cardiff City Area, CF10, Wales, UK
Listing for: Ascendion
Full Time position
Listed on 2026-08-11
Job specializations:
  • IT/Tech
    Azure, Cloud Computing: Infrastructure & Operations
Job Description & How to Apply Below

Job Title: Senior Engineering Lead – Azure Cloud Data Platform

Work Location: Cardiff, UK (Hybrid - once a week working from office)

Job Description:

Key Responsibilities

  • Provide strategic guidance and technical leadership to the Nucleus product team, ensuring alignment with business objectives and cloud best practices.
  • Support, develop and evolve a consumer-grade practitioner-facing self-service portal product, ensuring exceptional user experience and seamless functionality.
  • Design and implement cloud-native solutions, with a focus on serverless architectures, microservices, and scalable infrastructure.
  • Offer hands-on support in cloud architecture while maintaining a focus on strategy and advisory in other areas.
  • Leverage expertise in Azure cloud platform, Azure Dev Ops, and Dev Ops principles to drive innovation and operational excellence.

Required Skills and Experience

Essentials:

  • Established experience in cloud architecture, Dev Ops, and analytics platforms.
  • Proficiency in the Azure cloud platform, Azure Dev Ops, and serverless cloud architecture.
  • Strong hands-on experience with Azure-native serverless components including Azure Functions, Logic Apps, and Event Grid.
  • Experience with Azure messaging and integration services, particularly Azure Service Bus, Event Hubs, and API Management.
  • Demonstrable expertise in Azure data services including Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and Azure Data Lake Storage.
  • Familiarity with Azure SQL, Cosmos DB, and other Azure database technologies.
  • Strong understanding of Dev Ops principles, infrastructure-as-code patterns (Terraform, Bicep, ARM templates), and networking concepts.
  • Exceptional communication and stakeholder management skills, with the ability to challenge and influence senior stakeholders.

Desirable:

  • Experience designing and implementing data pipelines, ETL/ELT processes, and real-time streaming solutions.
  • Experience integrating AI into products and/or platforms is advantageous.
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