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.
Robust 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 opportunity, we'd love to hear from you.
#J-*****-Ljbffr

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