Senior Data Engineer - Databricks
Indexed description
Client Details
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.
Description
- 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.
- Opportunity to shape a large-scale cloud data platform.
- Technical leadership and mentoring responsibilities.
- Exposure to complex enterprise data environments.
- Collaborative and highly skilled technology team.
- Significant influence over engineering standards and platform direction.
To apply online please click the 'Apply' button below. For a confidential discussion about this role please contact Mitchell Anderson on [email protected]
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