Senior Databricks Engineer
Core
Design, build, and migrate scalable backend data solutions using Databricks, AI, Python, and SQL for a critical enterprise Investment Data Platform.
Role type
Senior backend Databricks engineer
Builds
Scalable backend data solutions, ETL/ELT pipelines, and data integration layers for investment, reference, and security data
Domain
Financial services / Investment data technology
Deliverable
production ML models
Required skills
Databricks engineering, Python, SQL, backend engineering, data engineering, AI, ETL/ELT pipeline development, large-scale enterprise data platforms, cloud data engineering, data modelling, data quality, data integration
Preferred skills
Investment Management, Asset Management, Superannuation, Financial Markets, Investment Data Platforms, Security Master, Reference Data, Market Data
Technologies
Databricks, Python, SQL, AI
Responsibilities
Design and build scalable backend data solutions, migrate data platforms, develop and maintain complex ETL/ELT pipelines, collaborate with investment stakeholders
Seniority
Senior, hands-on IC
