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We are currently looking for a Data Engineer to join our client’s forward-thinking, collaborative, and technology-driven team. In this role, you’ll take the lead in shaping and delivering modern cloud data solutions, working closely with a highly skilled Data & BI function. Reporting into the Manager of Global Enterprise Data & BI, you’ll be hands-on designing cloud-native data architectures, modernising legacy pipelines, and mentoring a wider engineering team. As a Lead Data Engineer, you’ll play a critical role in ensuring the organisation’s data platforms are scalable, secure, and capable of delivering impactful insights across the business.
Job Responsibility:
Lead and mentor internal and external data engineering teams to deliver best-in-class cloud solutions
Design, build, and optimise enterprise data platforms using Azure Synapse, Microsoft Fabric, OneLake, and lakehouse architectures
Modernise traditional ETL/ELT processes and transition workloads to cloud-native tools
Develop scalable data pipelines, Spark-based processing, and dataflows for unified analytics
Implement governance, security, and compliance standards across all cloud data environments
Collaborate with stakeholders to support high-value analytics and Power BI initiatives
Produce documentation, technical designs, and support materials to enable continuous improvement
Requirements:
Proven experience leading data engineering initiatives in a cloud environment
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