Data Engineer

ClearCompany; Melbourne; Hybrid; AUD 80,000 - 100,000; Full time

Job summary

A forward-thinking organization in Melbourne is seeking an experienced Azure Data Engineer to lead the development of modern data platforms. The role involves designing scalable pipelines using Microsoft Data Fabric and Azure services. This position offers a competitive salary and a hybrid work model, promoting a collaborative and innovative workplace culture.

Benefits

Competitive salary

Annual bonus

Career development

Work from home 2 days a week

Inclusive workplace culture

Qualifications

• 5+ years in a Data Engineer or similar role, ideally in an Azure environment.
• Deep expertise in Azure Data Factory, Synapse, Databricks and Python/SQL.
• Solid knowledge of medallion architecture, data lakes, and lakehouse patterns.

Responsibilities

• Build, maintain and optimise data pipelines using Azure Data Fabric.
• Develop ETL/ELT processes integrating external data sources.
• Support machine learning initiatives, building datasets and optimising workflows.

Skills

Azure Data Factory

Synapse

Databricks

Python/SQL

Analytics

Machine Learning

Data Governance

Job description

Azure Data Engineer

About the Company Join a forward-thinking organisation on a mission to transform data into actionable insights that drive impact. With a strong national presence and a commitment to innovation, this business fosters a collaborative, inclusive and tech-enabled environment. Work alongside skilled professionals who are passionate about data, analytics, and continuous improvement.

About the Role This is a key opportunity for an experienced Data Engineer to lead the development of modern data platforms using Microsoft Data Fabric and Azure services. You'll design scalable pipelines, shape data architecture, and support analytics, machine learning, and AI initiatives. Collaborating across data, BI, governance and product teams, your work will directly enhance decision-making and business performance.

What you’ll do

• Build, maintain and optimise data pipelines using Azure Data Fabric, Synapse, and Data Factory
• Develop ETL/ELT processes, integrating external data sources into a medallion architecture
• Design future-state data models aligned to business and AI needs
• Support machine learning initiatives, building datasets and optimising data workflows
• Implement data governance practices and ensure compliance with security standards
• Collaborate with data scientists, analysts, and BI developers to deliver actionable insights
• Document technical decisions, data flows and system processes to ensure transparency
• Champion innovation through AI integration and product enhancement initiatives

What you’ll bring

• 5+ years in a Data Engineer or similar role, ideally in an Azure environment
• Deep expertise in Azure Data Factory, Synapse, Databricks and Python/SQL
• Solid knowledge of medallion architecture (Bronze/Silver/Gold), data lakes and lakehouse patterns
• Hands-on experience supporting analytics, Power BI, and ML model deployment
• Understanding of data governance, security, and compliance (e.g. GDPR, HIPAA)
• Strong documentation and collaboration skills across business and technical teams

Nice to have

• Microsoft certifications (DP-203, AZ-305, AI-102)
• Experience with Azure ML, Cognitive Services, OpenAI or Generative AI
• Familiarity with Microsoft Purview and big data technologies (Spark, Delta Lake)

What’s in it for you

• Competitive salary + annual bonus + full-time permanent stability
• Hybrid work model with 2 days Work from home
• Career development with access to new tech and emerging AI tools
• Inclusive and innovative workplace culture
• Central Melbourne location close to transport, shops and cafes

How to apply Ready to lead data transformation in a business that values innovation? Click Apply Now, or contact Michael Mooney, at 0486 273 477 for a confidential discussion.