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Senior Data Engineer

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Summary

Senior Data Engineer leading the design and delivery of enterprise-wide data integration solutions on the Azure platform — Azure Logic Apps, Microsoft Fabric, Functions, API Management — with CI/CD and Infrastructure-as-Code via Azure DevOps, while mentoring junior engineers. Based in London.

We're looking for a Senior Data Engineer to lead the design, development and optimisation of enterprise-wide integration solutions across the Azure data platform. You'll play a key role in building scalable, secure and reliable data integrations, working closely with technical and business stakeholders.

Key Responsibilities

  • Lead the design and delivery of scalable integration solutions using Azure Logic Apps, Microsoft Fabric and the wider Azure ecosystem.
  • Connect business critical applications, data platforms, and third-party systems through scalable and secure integrations.
  • Drive best practices around integration architecture, governance, automation, and DevOps delivery.
  • Work closely with technical and business stakeholders to deliver secure, reliable, and high-performing data solutions.
  • Support and enhance automated deployments and continuous improvement through Azure DevOps.
  • Provide technical leadership, mentoring, and guidance to junior team members while helping shape the future integration roadmap.

Experience & Skills

  • 5+ years' experience in Data Integration, Data Engineering or Automation.
  • Strong experience in Azure Logic Apps and other Azure services such as Storage Accounts, Key Vault, Azure Functions and API Management.
  • Experience of developing Analytics solutions using Microsoft Fabric or comparable Azure PaaS services (Azure Data Factory, Synapse).
  • Solid understanding of REST APIs, authentication methods and modern integration patterns.
  • Experience implementing CI/CD pipelines using Azure DevOps and Infrastructure-as-Code tooling (ARM, Bicep. Terraform).
  • Knowledge of data modelling, governance, and integration best practices.

Skills

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