About the Role An exciting opportunity is available for a Senior Databricks Engineer to join a large enterprise organisation in Perth, contributing to key initiatives across data engineering, Databricks and Azure AI.

The successful candidate will leverage their expertise in Databricks and Azure AI to deliver scalable data solutions and support modernisation initiatives within a complex, fast-paced environment. The organisation is seeking a senior engineer who can take ownership, work autonomously and deliver high-quality outcomes with minimal supervision.

Working across modern data and AI technologies, you'll contribute to projects involving Databricks, Azure AI and emerging AI tools, including Databricks Genie AI. This role would suit an experienced engineer with strong data engineering capabilities, sound technical judgement and the ability to translate complex requirements into effective solutions.

This is an initial 12-month contract with a longer-term outlook, offering the opportunity to contribute to significant data and AI initiatives within a large enterprise workplace. The successful candidate will be expected to hit the ground running, with an immediate start preferred.

You Should Have

- Senior-level experience across data engineering and AI
- Strong hands-on Databricks experience
- Practical experience with Azure AI
- Experience delivering solutions in complex technical environments
- Ability to work autonomously and take ownership of delivery
- Strong analytical, troubleshooting and problem-solving skills
- Ability to deliver results in a fast-paced environment

Technical Requirements

Must Have

- Strong commercial experience with Databricks
- Hands-on experience with Azure AI and related projects
- Solid data engineering expertise
- Ability to independently deliver complex technical solutions
- Strong understanding of modern data engineering and AI technologies

Nice to Have

- Experience within large,



complex enterprise environments
- Exposure to Databricks Genie AI and modern AI tooling
- Broader experience across the Azure AI ecosystem
- Experience delivering data solutions in demanding operational environments

Key Responsibilities

- Design and deliver scalable data solutions using Databricks, Apache Spark and PySpark
- Support the modernisation of legacy data platforms through migration to Databricks Lakehouse architectures
- Build and optimise data pipelines using Python, SQL and Spark for large-scale processing and integration
- Assess existing data architectures and recommend improvements to performance, scalability and efficiency
- Leverage Azure AI and emerging technologies to support data and AI initiatives
- Diagnose and resolve complex data, integration and performance issues
- Ensure solutions meet enterprise standards for reliability, maintainability and performance
- Partner with business and technical stakeholders to translate requirements into production-ready solutions
- Provide technical direction across solution design, development and implementation
- Take ownership of complex engineering challenges and drive delivery with minimal supervision
- Identify opportunities to improve data platforms and engineering practices through modern technologies

Working Arrangements

- Hybrid working arrangement
- Approximately 3 days per week in the office and 2 days working from home
- Perth-based

Contract & Benefits

- Initial 12-month contract with a longer-term outlook
- Opportunity to work with modern Databricks and Azure AI technologies
- Exposure to emerging AI tools, including Databricks Genie AI
- Involvement in challenging data engineering and AI initiatives
- Opportunity to apply your expertise within a complex enterprise environment
- Immediate start preferred, with flexibility for the right candidate

How to Apply

If this opportunity resonates with you, please apply.

For further details, contact Jakson on 0468 056 015 or [email protected].

📌 Databricks Engineer (City of Perth)
🏢 Verse
📍 City of Perth