Data Engineer

Job Description: This position owns the technical interpretation and implementation of trading risk logic, with primary hands-on responsibility for SQL-based risk calculations and data layers. The role does development across SQL, data ingestion, and frontend/backend streams, ensuring that positions, exposures, pricing, and P&L outputs are accurate, performant, and aligned with agreed business definitions.

Working closely with the Senior Business Analyst, Technical Lead, Engineering Manager, and broader engineering teams, the role ensures that business intent is translated into robust technical designs and that delivery decisions balance correctness, performance, technical debt, and long-term platform sustainability. The role plays a critical part in delivering a trusted, enterprise-grade risk reporting platform for internal risk management users.

Key Accountabilities

Hands on SQL implementation

Implementation of SQL-based risk logic, including base, semantic, and reporting data layers, with primary hands-on responsibility for complex transformations and performance tuning.

Cross-stream Technical Collaboration

Strong collaboration with other SQL developers, data engineers, and full stack engineers, ensuring alignment across ingestion, data layers, APIs, and user interfaces.

Risk Data Correctness And Integrity

Ensures consistency and correctness of positions, exposures, pricing, and P&L outputs across end-of-day and reporting use cases.

Architecture And Design Stewardship

Reviews architectural decisions across database, data ingestion pipelines, OpenSearch, and .NET/React-based UI and API layers.

Business And Domain Partnership

Partners closely with the Senior Business Analyst, Domain Modeler, Technical Lead to translate business requirements into implementable technical designs, providing feasibility assessment and technical guidance.

Technical Risk And Debt Management

Identifies, assesses, and proactively manages technical risks, performance bottlenecks, and technical debt to protect platform stability and long-term maintainability.

Delivery And Production Readiness

Supports release planning, cutovers, and production readiness, ensuring data availability, performance validation, and operational stability.