We are the Quality Governance team, focused on Data Quality within the Data Office.
Our mission is to ensure that data used across analytics products is accurate, reliable, and trustworthy, and that data issues are detected, understood, and resolved as early as possible.
We are looking for a Data Quality Engineer Intern who is curious, detail-oriented, and eager to learn how real data systems work end-to-end. In this role, you will work closely with data quality engineers, data engineers, and platform teams to improve the quality, stability, and observability of analytical data.
This internship is a hands-on opportunity to grow into a Data Quality Engineer role and to learn how data quality, observability, and troubleshooting work in production analytics systems.
Validate data integrity, completeness, and freshness in analytical datasets
Write and execute SQL queries to compare data sources and detect anomalies
Investigate data quality incidents reported by observability platforms
Analyze metric inconsistencies and help trace root causes across data pipelines
Implement simple data quality fixes that do not require deep domain knowledge
Document findings and clearly communicate results in issue trackers
Work with data quality frameworks and observability tools (e.g., Monte Carlo)
Must-Have
Strong attention to detail and a structured, analytical mindset
Curiosity and willingness to explore data to identify inconsistencies
Good communication skills in English (written and spoken)
Motivation to learn and contribute to data quality and reliability
Interest in data validation and analytical problem-solving
Basic knowledge of SQL
Logical thinking and the ability to detect data anomalies
Nice-to-Have
Familiarity with analytics platforms (Tableau, Power BI, Looker)
Familiarity with data observability tools (e.g. Monte Carlo)
Interest in data quality, data observability, data engineering, or data governance