Data Engineer – Databricks

Location:
Sydney / Brisbane (Hybrid) Contract: 12 Months Industry: Financial Services / Insurance 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 environment, 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 lakehouse 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.
• Prospect 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 (Sydney)
🏢 INGRITY
📍 Sydney