QA Automation Engineer (Data)

About the role

The Data Quality Automation Engineer will join the Systematic Strategies team in the Research & Investment group. This experienced professional wil l design and implement automated data quality controls, validation frameworks, reconciliation processes, and monitoring solutions across enterprise-scale data platforms.

What you'll do

• Design, build, and maintain enterprise-scale automated data quality frameworks like Great Expectations, AWS Glue Data Quality, Amazon Deequ
• Experience implementing and maintaining data quality controls by establishing quality metrics for multi-asset class financial datasets
• Develop automated monitoring controls capable of identifying anomalies, outliers, missing data, stale data, and reconciliation breaks
• Develop automated source-to-target reconciliation frameworks across ingestion, transformation, and reporting layers
• Collaborate with Data Engineering teams to embed data quality controls throughout ETL/ELT pipelines

What you need

• 2–5 yrs of experience
• SQL
• Python
• Reconciliation
• AWS
• Root cause analysis
• Spark
• Any graduate

Good to have

• Git
• ETL
• Bloomberg
• Capital markets