Data Quality Engineer QA

This role is part of our talent pipeline for future hiring needs. While there may not be an immediate opening, we regularly expand our team and are interested in connecting with talented professionals. Qualified candidates will be invited to meet the Hiring Team and, if successful, will join our talent pool for future opportunities. This position is open to candidates currently based in Hungary who have the legal right to live and work in the country. Only shortlisted candidates who meet these requirements will be contacted regarding next steps. THE ROLE The Data Quality Engineer is responsible for designing and implementing the data quality framework across the enterprise lakehouse platform. This role ensures that data assets meet defined quality standards through automated validation, monitoring, anomaly detection, and incident management, building trust in data across the organization. KEY RESPONSIBILITIES ▸ Design and implement a comprehensive data quality framework covering completeness, accuracy, consistency, timeliness, and uniqueness ▸ Build automated data quality test suites using Great Expectations, dbt tests, or Soda Core ▸ Develop data quality dashboards and scorecards to provide visibility to data producers and consumers ▸ Implement anomaly detection and data observability solutions (Monte Carlo, Bigeye, or custom solutions) ▸ Integrate quality checks into CI/CD pipelines to prevent bad data from reaching production ▸ Define and manage SLAs for data quality at th