Analytics / Data Engineer
Core
Own and scale the core data platform that powers reporting, attribution, product analytics, reconciliation, AI workflows, and company-wide decision-making.
Role type
Senior Data Engineer (Data Platform & Analytics)
Builds
Reliable, well-modelled, documented warehouse data layers and automated pipelines for business intelligence and AI workflows.
Domain
Fintech / Proprietary Trading / SaaS
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
SQL, warehouse modelling (dbt, BigQuery), data pipeline engineering (Airbyte), workflow orchestration (Airflow), data governance, data quality, documentation
Preferred skills
AI-assisted coding fluency, fintech/prop trading/SaaS experience, system integration (QuickBooks, CRM), cross-functional partnership
Technologies
BigQuery, dbt, Airbyte, Airflow, QuickBooks, Claude, Cursor, Copilot
Responsibilities
Own BigQuery warehouse architecture and dbt models; manage Airbyte pipelines and tracking infrastructure; model revenue, commission, and product funnels; implement governance, permissions, monitoring, and alerting; integrate operational systems (CRM, support, social); enable self-service analytics for non-technical stakeholders.
Seniority
Senior, hands-on IC
