We're looking for an experienced
Data Engineer with robust, hands-on Databricks experience
to join a contemporary cloud and AI-focused data environment.
Databricks is a mandatory requirement for this role.
We're particularly interested in engineers who have spent several years building and optimising production data solutions on the
Databricks Lakehouse Platform
, rather than candidates with limited or incidental exposure.
The Role
You'll work across modern data engineering and cloud integration initiatives, designing scalable data solutions using
Databricks, AWS, Python, SQL and PySpark
.
What You'll Be Doing
Build and optimise
Databricks data pipelines and Lakehouse solutions
Develop scalable ingestion, transformation and orchestration workflows
Design and deliver cloud-native data integrations across
AWS
Work extensively with
Python, SQL, Spark/PySpark
Improve data performance, quality, security and governance
Support AI-enabled data and integration initiatives
Collaborate with engineering, architecture and business teams




Contribute to engineering standards, automation and best practices
What We're Looking For
5+ years' Data Engineering experience
Proven experience building and optimising
production Databricks pipelines
Strong understanding of the
Databricks Lakehouse Platform
Strong
Spark/PySpark, Python and SQL
Strong AWS experience across services such as
S3, Glue, Lambda, Athena, Redshift, IAM and API Gateway
Experience with cloud-native data integration and orchestration
Understanding of APIs and modern integration patterns
Solid communication and problem-solving skills
Experience with
Delta Lake, Unity Catalog, Medallion Architecture, Terraform/CloudFormation, CI/CD, Docker/Kubernetes or AI development tools
would be highly regarded. This is a 6 month contract with strong possibility for an extension paying $950 - $**** per day inc super.
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📌 Data Engineer - (Databricks) (Queensland)
🏢 Talent
📍 Queensland