A Data and Analytics consultancy client of ours requires an immediate start Databricks Engineer for one of their major projects.

The role can be onsite, hybrid or remote if based outside of the City.

Requirements

Databricks (ideally with certifications) an absolute

This role is ideal for someone with 3-7 years of experience delivering complex data and analytics solutions in a client-facing environment, preferably within a consulting setting.

You will be responsible for leading the technical delivery of end-to-end data projects, with a strong focus on Microsoft’s contemporary data platform stack, including Azure Synapse Analytics, Azure Data Factory, Power BI, and ideally, Databricks or Microsoft Fabric. You will also guide clients through cloud data migrations, modern data architecture, and best practices for scalable data engineering.

Key Responsibilities

- Ideally lead and deliver data engineering projects from discovery through deployment.




- Design and implement cloud-native data pipelines using Azure and Databricks
- Provide strategic input on data architecture, migration strategies, and governance.
- Ideally act as a technical lead, mentoring junior engineers and guiding project teams.
- Engage directly with clients to understand business goals and align technical solutions.
- Collaborate with cross-functional teams to integrate data solutions into broader business initiatives and strategies.
- Collaborate closely with stakeholders, providing clear updates on progress, risks, and scope changes.

About You

- 3-7 years of consulting experience in data and analytics project delivery.
- Proven expertise in the Microsoft Data Platform (Azure Data Factory, Synapse, SQL, Power BI).

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📌 Databricks Engineer (Melbourne)
🏢 BI & DW Australia
📍 Melbourne