Senior Data Engineer
On-siteSydney, New South Wales, Australia
Job Summary
Architect and own delivery of shared data products across Finance, People, Procurement, and Compliance, from design decisions through to production. Build and evolve the semantic layer powering reporting, self-service analytics, and conversational analytics like Databricks Genie by writing models, tests, and documentation. Design scalable data pipelines and governed data products using Databricks, dbt, SQL, and PySpark while implementing end-to-end governance including Unity Catalog access controls, column-level security, and data lineage. Drive DataHub adoption by defining metadata standards and ownership models. Translate complex stakeholder requirements into production-grade solutions and set the engineering standard through code quality and PR reviews. Partner with the broader data team to improve CI/CD, testing frameworks, and observability.
Required Qualifications
- 8+ years of experience designing and building production data solutions
- Track record of architectural ownership and designing end-to-end data solutions
- Expert-level SQL and data transformation skills
- Strong hands-on experience in dbt, PySpark, or both
- Deep experience with Databricks, Lakehouse architectures, or comparable modern data technologies
- Experience implementing governance at scale, including access control, PII handling, column-level security, data lineage, and data quality management in production environments
- Experience building trusted business-facing data products within Finance, People/HR, Procurement, Operations, or similar domains
Desired Qualifications
- No prior trading or financial experience is needed
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