Senior Integration Engineer
Current Job Type
- Contract
Salary / Rate
- $900 Day
Notice Period
- 2 Weeks
Location
- Melbourne
Status
Current Job Type
Salary / Rate
Notice Period
Location
Status
A seasoned Senior Integration and Data Engineering professional with over 16 years of experience, the candidate excels in architecting and delivering Azure-centric data platforms that power enterprise analytics and integration at scale. Having navigated sectors ranging from waste management and education to healthcare, government and financial services, they combine deep technical acuity with a passion for data-driven transformation. Core expertise spans Azure Data Factory, Databricks, Synapse, Dynamics 365 Finance data ingestion and Power Platform end-user enablement, underpinned by strong leadership and stakeholder engagement skills.
Demonstrating broad technical acumen, they have built secure, private-endpoint data landscapes, implemented end-to-end CI/CD pipelines in Azure DevOps and engineered medallion-architecture data lakes that serve reporting, ML and operational workloads. Key achievements include architecting a Waste Management Company's enterprise integration platform, implementing an Educational Institution's first modern data warehouse and enabling a Healthcare Organization to derive actionable procurement insights beyond native Dynamics 365 reporting. Adept in T-SQL, Python, .NET and API design, this professional routinely leverages best-practice data modelling (Kimball & Inmon), advanced ETL patterns and robust governance frameworks to drive reliable, high-performance solutions.
Complementing their technical depth, the candidate brings a collaborative leadership style, mentoring data engineers and analysts while championing Agile delivery and continuous improvement. Their ability to translate complex requirements into scalable architectures, coupled with PRINCE2 and Microsoft certifications, positions them as a valuable catalyst for organisations seeking to modernise data estates, streamline integrations and unlock business value through trusted data assets.
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