Senior Data Quality Engineer - Remote

Overview

We are seeking a Senior Data Quality Engineer focused on data validation and regression coverage to support our Data team, ensuring reliable, privacy-conscious, and production-ready data for analytics and applications.

In Short

• Implement data validations for key datasets and ETL jobs.
• Build and maintain regression test suites for data products.
• Automate dataset provisioning for integration tests.
• Support validation and testing for internal products.
• Contribute to CI pipelines with data contract checks.
• Collaborate on synthetic datasets and validation strategies.
• Focus on rigorous data normalization and privacy controls.
• Work in a fast-paced, startup-like environment.
• Adapt to frequent changes in direction.
• Partner closely with the Data Test Lead.

Requirements

• Strong experience in SQL and Python.
• Background in data quality assurance.
• Experience with schema and referential integrity validations.
• Familiarity with CI/CD pipelines.
• Experience with synthetic/test data management.
• Proactive and self-driven individual.
• Ability to thrive in a fast-paced environment.
• Experience with automation for integration tests.
• Strong analytical skills.
• Ability to adapt to changing requirements.

Benefits

• Work with cutting-edge technology and AI.
• Collaborate with a global team of experts.
• Opportunity for professional growth and development.
• Engage in innovative projects with significant impact.
• Flexible working environment.