Staff Analytics Engineer
Core
Own and execute the vision for the data transformation layer, building robust, scalable data models from hundreds of millions of daily events to support finance, operations, and executive stakeholders.
Role type
Staff Analytics Engineer
Builds
Scalable data models, BI reports, and reverse ETL data products
Domain
Financial services / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
dbt, SQL, Python, semantic layer modelling, CI/CD workflows, query optimization, cloud environments
Preferred skills
Airbyte, Airflow, brokerage operations domain knowledge
Technologies
dbt, Trino, GCP, Postgres, Iceberg, Git
Responsibilities
Design and maintain scalable data models using dbt and SQL; establish best practices for data modelling, testing, and monitoring; collaborate with finance and operations teams to define requirements; integrate data models with BI tools and reverse ETL processes; champion high standards for development and data quality.
Seniority
Staff, hands-on IC with strategic ownership