Engineer - Data & Platforms (m/f/d)
Core
Build and run internal data products (pipelines, datasets, APIs, tools) for the investment team, Quantitative Research, and AI Engineering to transform financial and alternative data into actionable insights.
Role type
Senior IC data engineer (financial data platforms)
Builds
Data pipelines, datasets, APIs, and tooling on a lakehouse and orchestration stack
Domain
Financial services / Asset management / Data engineering
Deliverable
production ML models
Required skills
Python, SQL, data modeling, CI/CD, automated testing, agentic AI usage
Preferred skills
Databricks, PySpark, orchestration (Airflow, Dagster), lakehouse formats (Parquet, Delta, Iceberg), AWS, LLM systems in production
Responsibilities
Design and operate reliable data pipelines and ETLs for complex financial datasets; triage and prioritize requests from research and investment teams; enforce engineering discipline (testing, code review); implement observability and data quality monitoring; integrate agentic AI into daily engineering workflows
Seniority
Mid-Senior, hands-on IC
