Data Engineer - Databricks

Data Engineer – Databricks Location: Sydney / Brisbane (Hybrid) Contract: 12 Months Industry: Financial Services / InsuranceThe OpportunityINGRITY 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. • Opportunity to contribute to AI-enabled data engineering practices. Apply NowIf you're a Data Engineer with strong Databricks experience looking for your next opportunity, we'd love to hear from you.