Data Quality Engineer QA

Location: Remote within Hungary (Debrecen). The role is open only to candidates currently based in Hungary who have the legal right to live and work in Hungary.

Company

hirify.global is a first-party data and insights platform serving market research, media, advertising, consulting, investment, publishing, and corporate customers worldwide.

What you will do

• Design and implement an enterprise data quality framework covering completeness, accuracy, consistency, timeliness, and uniqueness.
• Build automated data quality test suites using Great Expectations, dbt tests, Soda Core, or similar tools.
• Develop data quality dashboards, scorecards, anomaly detection, and data observability solutions.
• Integrate quality checks into CI/CD pipelines and define SLAs for data pipelines and data products.
• Triage and resolve data quality incidents while coordinating with upstream source owners.
• Collaborate with data governance, data engineering, and product teams on quality standards, profiling, onboarding, and measurement approaches.

Requirements

• 4+ years of experience in data engineering, data quality, or analytics engineering.
• Hands-on experience with Great Expectations, dbt tests, Soda, Monte Carlo, or similar data quality tools.
• Strong SQL and Python skills for validation logic and quality metric queries.
• Experience with Apache Spark or dbt for large-scale data transformation and testing.
• Knowledge of data profiling, statistical anomaly detection, data observability, and lakehouse environments.
• Experience with Airflow or similar orchestration tools and a bachelor's degree in a relevant field.

Nice to have

• Experience with Databricks or Snowflake data quality features.
• Knowledge of DataHub or data catalog integration for publishing quality scores.
• Familiarity with data contracts, shift-left quality, and data mesh architectures.

Culture & Benefits

• Full-time employment with country-specific benefits.
• Benefits designed to support well-being and work-life balance.
• Inclusive and accessible work environment with accommodations available throughout the selection process.
• The role is part of a talent pipeline for anticipated future hiring needs.

Hiring process

• Qualified applicants may be invited to participate in the recruitment process and meet the hiring team.
• Successful candidates will be placed in the talent pool and contacted when an opening becomes available.