Azure Data Engineer

Exalto Consulting; Australia; On-site; AUD 100,000 - 120,000; Part time

Job summary

A leading IT services firm in Australia is looking for an experienced Azure Data Engineer to join a high-profile project focused on modern data solutions using the Microsoft Azure platform. The role involves designing scalable data solutions, optimising ETL pipelines, and developing workflows using Azure Data Factory. Ideal candidates should have hands-on experience with Azure services, SQL, and Python. This contract role offers the opportunity to work on cutting-edge data engineering initiatives in a dynamic environment.

Qualifications

• Strong hands-on experience with Azure Data Factory, Azure Databricks, and Azure cloud services.
• Proficiency in SQL and Python for data engineering tasks.
• Solid understanding of ETL processes and data pipeline development.
• Experience in building and managing CI/CD pipelines using Azure DevOps or similar tools.
• Knowledge of data governance and optimisation techniques.

Responsibilities

• Design and develop scalable data solutions using Azure services.
• Build and optimise ETL pipelines for data ingestion and transformation.
• Develop and maintain Azure Data Factory workflows for orchestration.
• Work with Azure Databricks to implement data processing and analytics.
• Implement CI/CD pipelines for automated deployment and integration.
• Ensure best practices in data modelling and performance tuning.

Skills

Azure Data Factory

Azure Databricks

SQL

Python

ETL processes

CI/CD pipelines

Job description

We are looking for an experienced Azure Data Engineer to join a high‑profile project delivering modern data solutions on the Microsoft Azure platform. This is an excellent opportunity for a skilled professional to work on cutting‑edge data engineering initiatives.

Key Responsibilities

• Design and develop scalable data solutions using Azure services.
• Build and optimise ETL pipelines for data ingestion and transformation.
• Develop and maintain Azure Data Factory workflows for orchestration.
• Work with Azure Databricks to implement data processing and analytics using SQL and Python.
• Implement CI/CD pipelines for automated deployment and integration.
• Ensure best practices in data modelling, performance tuning, and security compliance.

Essential Skills and Experience

• Strong hands‑on experience with Azure Data Factory, Azure Databricks, and Azure cloud services.
• Proficiency in SQL and Python for data engineering tasks.
• Solid understanding of ETL processes and data pipeline development.
• Experience in building and managing CI/CD pipelines using Azure DevOps or similar tools.
• Knowledge of data governance and optimisation techniques.

Additional Information

• Australia based candidates with full rights to work in Australia will only be considered.

If you are passionate about data engineering and have proven experience with Azure technologies, apply now to be part of a dynamic team delivering enterprise‑grade solutions.

Employment Details

• Seniority level: Mid‑Senior level
• Employment type: Contract
• Job function: Information Technology
• Industries: IT Services and IT Consulting