Data Engineer (Databricks)

Opus Recruitment Solutions; Sydney; On-site; AUD 120,000 - 180,000; Full time

Job summary

Opus Recruitment Solutions Limited in Sydney is seeking a Databricks specialist to shape and deliver data and AI initiatives for enterprise clients across Australia.

You will architect and implement Databricks environments, drive governance and platform best practices, and balance hands-on delivery with strong stakeholder engagement to lead solution delivery from design through to production.

Qualifications

• Experience designing and implementing Databricks platforms in enterprise environments.
• Strong knowledge of Databricks architecture, Unity Catalog, serverless capabilities, and platform best practices.
• Proven track record delivering data engineering and AI workloads using Databricks.

Responsibilities

• Architect and implement Databricks environments, enabling AI-powered use cases from design to production.
• Engage with clients and stakeholders to lead data engineering and AI delivery.
• Provide hands-on delivery while managing client relationships and solution leadership.

Skills

Client-facing delivery

Stakeholder engagement

Solution leadership

Data engineering focus

Tools

Databricks

Unity Catalog

Serverless capabilities

Databricks architecture

Job description

Opus Recruitment Solutions - Sydney CBD NSW

Join a team trusted to deliver strategic Data and AI initiatives for leading organisations across Australia. You'll work on complex projects spanning data platforms, advanced analytics, AI, and cloud technologies, with the opportunity to influence outcomes from design through to delivery.

Abot the Role

You’ll work at the point where modern data platforms and emerging AI technologies converge. From architecting Databricks environments to enabling AI-powered use cases, you’ll help organisations turn ambitious ideas into production-ready solutions

About You

Deep hands-on experience designing, implementing, and optimising Databricks platforms in enterprise environments.

Strong knowledge of Databricks architecture, governance, Unity Catalog, serverless capabilities, and platform best practices.

Proven track record delivering data engineering and AI workloads using Databricks.

Comfortable operating in client-facing environments, balancing hands-on technical delivery with stakeholder engagement and solution leadership.