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Engineering · Bangalore, IND · Full-time

Data Engineer

Design and operate the data infrastructure behind AI systems for sophisticated hedge funds — reliable pipelines, warehouse models, and the datasets that investment teams and agents depend on every day.

What you’ll do

  • Build and maintain ETL/ELT pipelines that land market, portfolio, and research data with reliability and clear ownership
  • Model analytical datasets for research, risk, IR, and ops workflows — performant, documented, and easy for agents and analysts to query
  • Partner with Applied AI Engineers to expose clean, MCP-ready data sources for agentic tools
  • Improve observability: freshness SLAs, lineage, anomaly detection, and recovery playbooks
  • Work directly with client and internal stakeholders to scope data needs and ship in weeks, not months

What we’re looking for

  • 3+ years of data engineering experience building production pipelines and analytical data models
  • Strong Python and SQL; comfort with modern data tooling (dbt, Airflow/Prefect, Spark, or equivalents)
  • Experience with cloud data platforms (Azure, AWS, or GCP) and warehouse/lakehouse patterns
  • Familiarity with OLAP stores, partitioning, incremental loads, and data quality monitoring
  • Curiosity about financial market data and how investment teams consume it
  • Strongly preferred: experience with Databricks, Polars/Pandas, or real-time/streaming ingestion