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 workplace.

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.

Key responsibilities
Lead, mentor and develop a Data Engineering team
Own the design and delivery of enterprise data platforms
Build scalable pipelines, data models, warehouses and lakehouse solutions
Manage stakeholders across business and technology teams
Drive engineering standards across coding, CI/CD, governance and performance
Ensure platforms are secure, reliable and cost-effective

Key experience
Strong Data Engineering leadership and team management experience




Hands-on expertise in SQL, Python and PySpark
Robust Azure Data Factory and Azure Synapse experience
Experience with Azure Databricks, ADLS and Delta Lake
Knowledge of Microsoft Fabric
Strong data modelling and data warehousing knowledge
Experience delivering enterprise-scale data platforms
Excellent communication and stakeholder management skills

Experience in financial services, Azure certifications, Azure DevOps, GitHub Actions, APIs, Azure Functions, Docker or Kubernetes would be advantageous.

This is a permanent opportunity offering $180,000 base plus super, working onsite within a major Melbourne organisation.

📌 Lead Data Engineer – Azure Melbourne
🏢 PRA
📍 Melbourne