Data Engineer – Databricks
Location:
Sydney / Brisbane (Hybrid)
Contract:
12 Months
Industry:
Financial Services / Insurance
Apply Now>

The Opportunity:
INGRITY is seeking an experienced
Data Engineer
to join a major financial services organisation undergoing a significant data modernisation program.
You'll work within a modern
Databricks workplace
, building scalable data pipelines, transforming complex datasets and supporting the migration of legacy data platforms to a cloud-based lakehouse architecture.
Key Responsibilities:
Design, develop and optimise data pipelines using
Databricks, Python/PySpark and SQL
.
Build and maintain data transformations using
dbt and Delta Lake
.
Develop scalable data models across
Bronze, Silver and Gold
layers.
Support data migration from legacy platforms, including SAS.
Implement data quality checks, testing and performance optimisation.
Collaborate with data engineers, analysts and business stakeholders.
Skills & Experience:




Strong hands-on experience with
Databricks, PySpark and SQL
.
Experience with
dbt, Delta Lake and lake house architecture
.
Proven experience developing and maintaining ETL/ELT pipelines.
Experience with cloud platforms, ideally
Azure or AWS
.
Understanding of CI/CD, data testing and production support.
Experience in
insurance or financial services
highly regarded.
Exposure to AI-assisted development tools such as
GitHub Copilot or Databricks Genie
advantageous.
Why Join?
Work on a large-scale data transformation program.
Modern Databricks and cloud technology environment.
Collaborative engineering team with hybrid flexibility.
Opportunity to contribute to AI-enabled data engineering practices.
Apply Now:
If you're a Data Engineer with strong Databricks experience looking for your next opportunity, we'd love to hear from you.

📌 Data Engineer - Databricks (New South Wales)
🏢 INGRITY
📍 New South Wales