Senior Azure Data Engineer

ai talent • Australia

Visa Sponsorship

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Design and build resilient, secure cloud data platforms for a premier financial services client. Lead the architecture of enterprise ELT/ETL pipelines using Azure Data Factory and automate deployments via Azure DevOps. Requires proven commercial experience in the Microsoft Azure data stack, advanced SQL proficiency, and eligibility for 482 visa sponsorship.

Key Highlights

Full visa and migration support including 482 sponsorship transfers and new sponsorships

Technical ownership of high-throughput data integration pipelines in a regulated financial environment

End-to-end CI/CD automation and performance tuning across Azure Data Lake, Synapse, and SQL

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Key Responsibilities

Lead the design, build, and optimisation of resilient, scalable batch and event-driven data pipelines using Azure Data Factory (ADF).

Implement and manage automated CI/CD deployment pipelines for database objects, ADF components, and data assets using Azure DevOps.

Configure and maintain structured and semi-structured storage layers across Azure Data Lake Storage (ADLS Gen2), Azure Synapse Analytics, and Azure SQL Database.

Author complex, high-performance SQL queries, stored procedures, and transformations while optimising compute consumption.

Enforce data validation frameworks, lineage tracking, and strict banking-grade security/access controls across all integration points.

Partner directly with data analysts, enterprise solution architects, and business domain leads to support reporting, analytics, and modernisation milestones.

Technical Skills Required

Azure Data Factory SQL Azure DevOps

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Benefits & Perks

Full visa and migration support

482 On-Hire Sponsorship Transfers

New 482 Visa Sponsorship

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Nice to Have

Experience in banking, financial services, or other highly regulated environments

Hands-on experience with Infrastructure as Code (IaC) using Terraform or Bicep in Azure

Exposure to business intelligence and reporting tools (Power BI or legacy BI platforms)

Familiarity with PySpark, Azure Databricks, or Microsoft Fabric

Job Description

We are partnering with a premier financial services client to execute a major enterprise data modernisation program and build resilient, secure cloud data platforms. We are seeking an experienced Azure Data Engineer to represent our organisation and take technical ownership of designing, automating, and scaling high-throughput data integration pipelines within the Microsoft Azure ecosystem.

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