Job Description
We are seeking a hands‐on Lead Data Engineer to lead the delivery of a large‐scale Azure data platform within a major financial services environment.
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This role combines technical leadership, people management and stakeholder engagement. You will manage and mentor Data Engineers while remaining involved in architecture, coding standards, design reviews and complex technical decisions.
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Key responsibilities
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Lead, mentor and develop a Data Engineering team
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Own the design and delivery of enterprise data platforms
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Build scalable pipelines, data models, warehouses and lakehouse solutions
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Manage stakeholders across business and technology teams
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Drive engineering standards across coding, CI/CD, governance and performance
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Ensure platforms are secure, reliable and cost‐efficient
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Key experience
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Strong Data Engineering leadership and team management experience
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Hands‐on expertise in SQL, Python and PySpark
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Solid Azure Data Factory and Azure Synapse experience
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Experience with Azure Databricks, ADLS and Delta Lake
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Knowledge of Microsoft Fabric
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Strong data modelling and data warehousing knowledge
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Excellent communication and stakeholder management skills
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Experience in financial services, Azure certifications, Azure DevOps, GitHub Actions, APIs, Azure Functions, Docker or Kubernetes would be advantageous.
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This is a permanent opportunity offering $180,000 base plus super, working onsite within a major Melbourne organisation.

📌 Lead Data Engineer - Azure (Victoria)
🏢 PRA
📍 Victoria