- Design and develop scalable ETL/ELT pipelines using Databricks and Spark.

- Build and maintain enterprise-grade data platform solutions.

- Architect data migration, integration, and transformation strategies.

- Develop data ingestion frameworks from databases, APIs, and streaming sources.

- Transform complex and semi-structured datasets into curated data products.

- Implement orchestration, monitoring, and automated deployment processes.

- Establish engineering standards, governance frameworks, and best practices.

- Mentor and coach internal data engineers to improve technical capability.

- Extensive experience as a Senior Data Engineer.

- Strong expertise with Databricks, Apache Spark, and Delta Lake.

- Advanced SQL and Python development skills.

- Experience designing modern cloud-based data platforms.

- Proven capability building enterprise ETL/ELT solutions.

- Strong understanding of CI/CD, automation, and platform governance.

- Experience with orchestration tools such as Airflow and dbt.





- Excellent communication and mentoring skills.

Our client is a large, well established organisation operating complex, data-intensive industrial environments across Australia. They are investing heavily in modern data platforms and cloud technologies to improve operational insights, scalability, and data-driven decision making.

- Opportunity to shape a large-scale cloud data platform.

- Technical leadership and mentoring responsibilities.

- Exposure to complex enterprise data environments.

- Team-oriented and highly skilled technology team.

- Significant influence over engineering standards and platform direction.

This is an opportunity to join a business undergoing a major data transformation, where you'll play a critical role in both delivering technical outcomes and developing internal engineering capability.

📌 Senior Data Engineer - Databricks (Perth)
🏢 Michael Page
📍 Perth