Senior Engineer – Azure Cloud & Integration

<p>Welcome to Haleon. We’re a purpose-driven, world-class consumer company putting everyday health in the hands of millions. In just three years since our launch, we’ve grown, evolved and are now entering an exciting new chapter – one filled with bold ambitions and enormous opportunity.<br/><br/>Our trusted portfolio of brands – including Sensodyne®, Panadol®, Advil®, Voltaren®, Theraflu®, Otrivin®, and Centrum® – lead in resilient and growing categories. What sets us apart is our unique blend of deep human understanding and trusted science.<br/><br/>Now it’s time to fully realise the full potential of our business and our people. We do this through our Win as One strategy. It puts our purpose – to deliver better everyday health with humanity – at the heart of everything we do. It unites us, inspires us, and challenges us to be better every day, driven by our agile, performance-focused culture.</p><p></p><p></p><p><b>Role overview:</b></p><p><span><span>The Senior Engineer (</span><span>Azure<span> </span></span><span>Cloud &amp; Integration</span><span>) is a hands-on software engineer responsible for designing, building, and operating cloud-native data and integration solutions that support Salesforce Data 360 and Salesforce Marketing Cloud.</span> </span></p><p><span><span>The role focuses on engineering scalable, reliable, and automated data pipelines and integration layers, primarily on Microsoft Azure, enabling secure audience ingestion, transformation, synchronization, and activation at enterprise scale.</span></span><span> </span></p><p><span><span>This position complements Salesforce platform specialists by extending SaaS capabilities through custom engineering, improving operational reliability, observability, and data quality, and reducing long-term BAU effort.</span></span><span> </span></p><p></p><p>Apply now and shape the future of Azure and Salesforce integration. Join us and build enterprise-scale cloud solutions—apply today!</p><p></p><p><span> </span></p><p><b><span>Key responsibilities:</span></b><span> </span></p><ul><li><p><span><span>Own the design and implementation of Azure-based data and integration solutions supporting Salesforce Data 360 and Salesforce Marketing Cloud.</span></span><span> </span></p></li></ul><ul><li><p><span><span>Build and<span> </span></span><span>maintain</span><span><span> </span>automated, scalable, and production-grade data pipelines for ingestion, transformation, and synchronization.</span></span><span> </span></p></li></ul><ul><li><p><span><span>Engineer API-based integrations between Salesforce platforms and internal or external systems.</span></span><span> </span></p></li></ul><ul><li><p><span><span>Improve platform reliability, observability, performance, and data quality through code-level optimizations and monitoring.</span></span><span> </span></p></li></ul><ul><li><p><span><span>Support complex cross-system data flows, where platform configuration alone is insufficient.</span></span><span> </span></p></li></ul><ul><li><p><span><span>Lead troubleshooting, root-cause analysis, and resolution of complex data and integration issues.</span></span><span> </span></p></li></ul><ul><li><p><span><span>Ensure solutions<span> </span></span><span>comply with</span><span><span> </span>security, privacy, consent, and data governance standards.</span></span><span> </span></p></li></ul><ul><li><p><span><span>Reduce BAU effort through automation, standardization, and reusable engineering patterns.</span></span><span> </span></p></li></ul><ul><li><p><span><span>Collaborate closely with Salesforce platform engineers, Product, and Architecture teams.</span></span><span> </span></p></li></ul><ul><li><p><span><span>Provide</span><span><span> </span>technical guidance and promote strong software and data engineering practices across the platform landscape.</span></span><span> </span></p></li></ul><p></p><p><span> </span></p><p><b><span>Qualification</span><span>s</span><span><span> </span>and skills:</span></b><span> </span></p><p><b><span>Essential:</span></b><span> </span></p><ul><li><p><span><span>+4 years of experience</span><span><span> </span></span><span><span> </span>in Azure-based data engineering and integrations, including building and<span> </span></span><span>operating</span><span><span> </span>scalable data pipelines (Azure Data Factory, Databricks, ADLS Gen2; Synapse as a plus).</span></span><span> </span></p></li></ul><ul><li><p><span><span>Solid programming and automation skills using Python and/or Node.js, with<span> </span></span><span>ability</span><span><span> </span>to write maintainable, testable, and well-documented code.</span></span><span> </span></p></li></ul><ul><li><p><span><span>Good understanding of data engineering fundamentals, including SQL, data transformations, data modelling, and batch / near-real-time processing.</span></span><span> </span></p></li></ul><ul><li><p><span><span>Hands-on experience with API-based integrations (REST), eve