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Lead Azure Cloud Engineer

Ascendioncardiff, wales🇬🇧United KingdomPosted 2 Jun 2026

Why This Role Stands Out

This hybrid role offers you the chance to provide strategic technical leadership and hands-on cloud architecture expertise within a dynamic team, driving innovation on the Azure cloud platform. You'll thrive here if you possess strong experience in Azure, serverless architectures, and DevOps principles, and are eager to contribute to a cutting-edge data platform. Apply now to advance your career with Ascendion!

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
cardiff, wales, United Kingdom
MicroservicesSQLETLAzureDatabricksStakeholder ManagementTerraform

Job Description

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 DevOps, and DevOps principles to drive innovation and operational excellence.


Required Skills and Experience

Essentials:

  • Established experience in cloud architecture, DevOps, and analytics platforms.
  • Proficiency in the Azure cloud platform, Azure DevOps, 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 DevOps 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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