The Area: The Investment Management group is a global team guided by Morningstar’s investment principles focused on delivering great long-term investment results to help end-investors reach their financial goals. We use our expertise in asset allocation, investment selection and portfolio construction to create world-class investment strategies leveraging the full resources of Morningstar. The group specializes in multi-asset investing, using building blocks in equities, fixed income and alternative investments to construct robust portfolios. Through our investment offerings, we serve financial advisers and institutions, and the investors that they serve.

Shift: UK Shift

Role Summary

The Data Quality Automation Engineer will join the Systematic Strategies team in the Research & Investment group. This experienced qualified will design and implement automated data quality controls, validation frameworks, reconciliation processes, and monitoring solutions across enterprise-scale data platforms. The ideal candidate combines expertise financial data management and automation engineering,



with a passion for building scalable controls that improve data quality and operational efficiency.

Key Responsibilities

The successful candidate will

Design, build, and maintain enterprise-scale automated data quality frameworks like Great Expectations, AWS Glue Data Quality, Amazon Deequ, or similar data validation frameworks
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
Validate investment datasets sourced from multiple external providers including Bloomberg, FactSet, Morningstar, LSEG, and other market data vendors
Develop automated source-to-target reconciliation frameworks across ingestion, transformation, and reporting layers
Collaborate with Data Engi

📌 QA Automation Engineer (Mumbai)
🏢 Morningstar
📍 Mumbai