Quantitative Data Engineer
Core
Design and build an in-house data warehouse and scalable data infrastructure to support asset-backed investment analytics and modeling for KKR Credit & Markets.
Role type
Senior Data Engineer (Data Warehouse & Infrastructure)
Builds
In-house data warehouse, data pipelines, and analytical foundations for investment teams
Domain
Private Equity / Credit Markets / Alternative Asset Management
Deliverable
production ML models | infrastructure
Required skills
SQL, Snowflake, Spark, DBT, Dagster, Data Modeling, Data Architecture, Data Governance, Cloud Architecture, Linux, Docker, Kubernetes
Preferred skills
Financial products knowledge (bank loans, CLOs, derivatives, ABS, CMBS), Tableau, Power BI, Intex Tools
Responsibilities
Design and implement a robust in-house data warehouse; Ensure scalability, performance, and reliability of data infrastructure; Collaborate with stakeholders to integrate key data sources and pipelines; Establish protocols for data consistency, quality, and security; Develop pipelines to support sophisticated analytical models and business intelligence tools; Reduce dependency on external data providers and mitigate licensing risks.
Seniority
Senior, hands-on IC
