Work with a leading Consulting business. Permanent role with good $$ Hybrid working with 3 days in office.

Responsibilities

- Designing, developing and maintaining Azure-based data pipelines.
- Building and optimising solutions using Azure Data Factory, Databricks and Azure Synapse Analytics.
- Developing Python‑based solutions, Azure Functions and APIs.
- Working with SQL, JSON and modern data integration technologies.
- Applying data modelling and data warehousing best practices.
- Supporting CI/CD pipelines using Azure DevOps and GitHub.
- Working closely with technical and business stakeholders to deliver high-quality data solutions.

Qualifications

- 8+ years’ experience in Data Engineering or a similar role.
- Strong SQL and Python development skills.
- Commercial experience with Azure Data Factory (ADF), Databricks and Azure Synapse Analytics.




- Strong understanding of data modelling and data warehousing concepts.
- Experience working with Microsoft Fabric.
- Exposure to Azure Functions and API development.
- Experience working within Agile delivery environments.
- Excellent communication and stakeholder engagement skills.

Benefits

- Opportunity to work on enterprise‑scale Azure data platforms.
- Collaborative, high‑performing technical team.
- Modern cloud technologies and exciting data initiatives.
- Hybrid working environment.
- Initial contract with the potential for extension.

If you're an experienced Azure Data Engineer looking for your next contract prospect, we'd love to hear from you.

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📌 IT - Other > Consultant (Melbourne)
🏢 Luvo
📍 Melbourne