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Posted 07 August, 2026

Lead Azure Cloud Engineer

Ascendion
Cardiff, WLS, GB Full Time

Job Description

Job Title: Senior Engineering Lead – Azure Cloud Data Platform

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

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Job Description:

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Key Responsibilities

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

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Essentials:

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

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