Data Engineer

Responsibilities:

• Pipeline Engineering: Architect, build, and maintain scalable, automated data workflows and pipelines that ingest large-scale datasets from external vendors, exchanges, and internal systems.
• Data Management and Quality: Implement rigorous validation pipelines to clean, organize, and verify incoming data, ensuring absolute accuracy, consistency, and reliability for downstream users.
• Analytics Enablement: Partner directly with analysts, researchers, and trading desks to translate complex business requirements into high-performing data solutions and interactive dashboards.
• Production Support and Monitoring: Actively monitor system alerts, logs, and platform health. Troubleshoot missing, delayed, or incorrect data, providing rapid first-line support to ensure uninterrupted business operations.
• Architecture and Governance: Contribute to the continuous evolution of the firm's data architecture while enforcing security, compliance, and lifecycle management best practices.

Requirements:

• 5-7 years of professional experience in data engineering or software engineering, preferably within a fast-paced or financial services environment.
• Proven track record taking full ownership of technical solutions, from initial design and testing through CI/CD deployment and post-launch support.
• Exceptional analytical and problem-solving skills, with the ability to rapidly identify and resolve operational bottlenecks in large datasets.
• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative field.