Senior Databricks Engineer

BI & DW Australia; Sydney; Hybrid; AUD 120,000 - 180,000; Full time

Job summary

BI & DW Australia is seeking Databricks Engineers to lead data engineering projects in a client-facing role. The position supports end-to-end delivery of complex data solutions using Azure Synapse, Azure Data Factory, Power BI, and Databricks, with guidance on data migrations and modern architecture.

The role suits professionals with strong consulting experience and a track record of delivering scalable analytics platforms for clients in dynamic environments.

Qualifications

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

Responsibilities

• 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 medallion data architecture, migration strategies, and governance.
• 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.
• Provide clear updates to stakeholders on progress, risks, and scope changes.

Skills

Client-facing

Delivery leadership

Mentoring

Tools

Databricks

Azure Synapse Analytics

Azure Data Factory

Power BI

Microsoft Fabric

Job description

A Data and Analytics consultancy client of ours requires several immediate start Databricks Engineer for one of their projects in Sydney.

The role can be onsite, hybrid or remote. It can also be based in the Melbourne office.

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 modern 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 medallion 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).