Data Quality Engineer

You will own dashboards and quality controls for live and historical market data. You will define quality metrics, validate and reconcile data across venues, investigate anomalies, and automate checks. You will work with engineers to identify root causes, verify fixes, and report against service levels.

Responsibilities

• Build and maintain data-quality dashboards
• Define data-quality metrics
• Validate and reconcile market data across CEX and DEX venues
• Investigate gaps, stale feeds, duplicates, schema changes, and unusual prices
• Build automated checks for live and historical data
• Identify root causes with engineering and verify fixes
• Report against service-level agreements for client-facing data

Requirements

• 2+ years in data quality, data analytics, QA, data operations, or data engineering
• SQL
• Python
• Experience building dashboards and visualisations for operational or data-quality monitoring
• Experience working with large datasets and comparing data across sources, time periods, and systems
• Command-line experience