Azure Data Engineer

FR Consultancy; City of Melbourne; On-site; AUD 120,000 - 160,000; Full time

Job summary

FR Consultancy is seeking a data engineer in Melbourne to design and optimize cloud-native data architectures. You will work with SQL, Python and PySpark to build scalable pipelines, leveraging Azure Data Factory, Azure Synapse and Delta Lake for lakehouse implementations. Strong data modeling and warehousing expertise is essential for enterprise-scale analytics.

Collaborate on DevOps practices, CI/CD integration, and cost governance while delivering robust data solutions in an Australian market.

Qualifications

• Strong expertise in SQL, Python and PySpark demonstrated in data engineering projects.
• Experience with Azure Data Factory (ADF) and Azure Synapse Analytics is required.
• Hands-on with Delta Lake architecture and lakehouse implementations.
• Solid knowledge of data modeling and data warehousing concepts.
• Familiarity with Microsoft Fabric ecosystem and cloud-native architectures.
• Proven ability to design scalable data architectures and optimize cloud costs.
• Good problem-solving, design thinking and DevOps practices.

Responsibilities

• Apply strong data engineering skills to build and optimize data pipelines.
• Design cloud-native data architectures for enterprise-scale solutions.
• Leverage ADF, Synapse and Delta Lake in data lakehouse implementations.
• Model and warehouse data to support analytics and reporting needs.
• Collaborate with teams on CI/CD and DevOps for data workloads.
• Drive cost optimization, performance tuning and governance in cloud environments.

Skills

SQL

Python

PySpark

Data modeling

Data warehousing

Design thinking

DevOps

Tools

Azure Data Factory

Azure Synapse Analytics

Delta Lake

Microsoft Fabric

CI/CD pipelines

Job description

Status: AU valid visa with full work rights

Key Responsibilities

• Strong expertise in SQL, Python, and PySpark
• Extensive experience with Azure Data Factory (ADF) and Azure Synapse Analytics.
• Hands-on experience with Delta Lake architecture and modern data lakehouse implementations.
• Advanced knowledge of Data Modeling and Data Warehousing concepts.
• Strong exposure to the Microsoft Fabric ecosystem.
• Proven expertise in designing cloud-native data architectures and enterprise-scale solutions.
• Strong design thinking and problem-solving capabilities.
• Working knowledge of CI/CD pipelines and DevOps practices.
• Experience in cloud cost optimization, performance tuning, and resource governance.