We are seeking a Senior Data Engineer with strong hands‑on expertise in Databricks, PySpark, and cloud‑based data platforms to support the development, migration, and optimization of our enterprise data platform within the investment domain.

This role will focus on building and maintaining scalable data pipelines and lakehouse data models that support investment analytics, portfolio management, risk analysis, and trading data workflows.

The successful candidate will work closely with data engineers, quantitative analysts, and investment stakeholders to deliver high‑quality, reliable, and performant data solutions. Experience with financial datasets such as market data, portfolio holdings, transactions, pricing data, and risk metrics is highly valuable.

• Build, optimize, and maintain end‑to‑end data pipelines using Databricks, PySpark, and SQL across ingestion, curation, and consumption layers.
• Develop and manage Declara...