Lead Business Intelligence Developer / Data Engineer
Current Job Type
- Permanent
Salary / Rate
- $160000 p/a
Notice Period
- 4 Weeks
Location
- Sydney
Status
Current Job Type
Salary / Rate
Notice Period
Location
Status
With over five years of progressive experience across consulting, ISV, government-health and transportation sectors, this data professional excels in crafting robust analytics solutions that bridge engineering rigour with business impact. They possess deep expertise in Azure, AWS and Databricks ecosystems, underpinned by a strong foundation in computer science and a master s degree. Having delivered complex data-warehouse, reporting and migration initiatives for a Major Employer, a Compliance Solutions Provider and a Public Health Network, they thrive in stakeholder-centric environments that demand both strategic insight and hands-on delivery.
Their technical acumen spans architecting medallion-architecture warehouses on Azure Databricks, orchestrating ETL pipelines with Azure Data Factory, a Major Technology Provider and AWS services, and delivering enterprise-grade dashboards via Power BI and QuickSight. Adept in SQL, Python, PySpark and CI/CD best practices, they have standardised reporting frameworks, optimised SQL workloads and led data-migration programmes to new CRM instances all while embedding governance, documentation and UAT processes into agile SDLC cycles. Key achievements include a 30 % uplift in onboarding performance at a Major Employer, a 20-point NPS increase at a Compliance Solutions Provider and sustained 100 % on-time public-health reporting at a Public Health Network.
Beyond technical delivery, this individual demonstrates strong leadership by mentoring multi-disciplinary teams, coordinating cross-regional collaboration with UK headquarters and aligning analytics outputs to executive objectives. Their ability to translate complex data challenges into actionable insights, combined with a passion for continuous improvement, positions them as a versatile asset capable of driving data-driven transformation in fast-moving, innovative organisations.
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