FP&A Data Engineer
Core
Architecting and maintaining the FP&A insights data warehouse and automated reporting pipelines for trading and protocol services, serving traders, teams, and executives.
Role type
Senior IC data engineer (FP&A)
Builds
Production data pipelines, financial models, and automated reporting dashboards
Domain
Finance (Trading/Investment Banking) + Data Engineering
Deliverable
production ML models | dashboards & analysis
Required skills
Python, SQL, relational and non-relational data structures, ETL processes, unit/integration testing, PnL modeling, KPI generation, data governance, version control
Preferred skills
Databricks, Spark, Docker, PowerBI, Tableau, cryptocurrency knowledge, high-growth startup experience
Technologies
Python, SQL, Databricks, Spark, Docker, PowerBI, Tableau
Responsibilities
Architect and own the FP&A insights data warehouse; Build and evolve complex PnL attribution and KPI generation models; Implement automated reconciliation frameworks; Partner with Technology teams to modernize legacy FP&A models; Integrate best practices in data governance and testing; Provide accessible data for ad-hoc analyses
Seniority
VP or Director level