Data Engineer
Core
Onboard and support investment data for portfolio managers, researchers, and traders; build ETL pipelines and data models; ensure data quality and lineage for financial and alternative datasets.
Role type
Data Engineer (Financial Data Management)
Builds
ETL pipelines, data models, security master content, identifier mapping tools, data dashboards
Domain
Financial services / Investment management / Data engineering
Required skills
Python, SQL, ETL tools, data ingestion, data modeling, data quality management, metadata management, Linux/UNIX, Git
Preferred skills
Data lakehouse (Apache Iceberg), PostgreSQL, Snowflake, financial data vendors, large/unstructured datasets, AI development tools
Responsibilities
Provide first-level data support to portfolio managers, researchers, traders, engineers, and data scientists; Lead onboarding and integration of financial and alternative datasets; Design, build, and support ETL pipelines; Proactively identify and resolve data quality issues; Curate and maintain a metadata catalogue and knowledge base
Seniority
Mid-level, hands-on IC
