Senior Databricks Engineer

BI & DW Australia; Melbourne; Hybrid; AUD 120,000 - 160,000; Full time

Job summary

BI & DW Australia is seeking several Databricks Engineers to lead data and analytics delivery across projects. Roles can be onsite, hybrid or remote, with opportunities in Melbourne and Sydney.

You will design cloud-native pipelines using Azure, Synapse, Data Factory, and Power BI while guiding clients through data migrations and modern architecture. Ideal candidates have 3-7 years of consulting experience in data projects, strong Microsoft Data Platform skills, and a track record of mentoring

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 data architecture, migration strategies, and governance.
• Mentor junior engineers and guide project teams.
• Engage with clients to align solutions with business goals.

Skills

Databricks

Azure Synapse

Azure Data Factory

Power BI

Cloud data pipelines

Data architecture

Client delivery

Tools

Microsoft Fabric

Azure SQL

Job description

A Data and Analytics consultancy client of ours requires several immediate start Databricks Engineers for several of their projects.

The role can be onsite, hybrid or remote. It can also be based in the Sydney office so Sydneysiders are also encouraged to apply

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
• Fabric experience is a bonus
• 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).