Senior Data Quality Engineer

We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions.

With over 7.400 CI&Ters around the world, we've built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality.

We are seeking a Senior Data Quality Engineer focused on data validation and regression coverage to support our Data team. This role partners closely with the Data Test Lead to expand validation coverage across critical datasets and pipelines, ensuring reliable, privacy-conscious, and production-ready data for analytics and applications.

This Senior Data Quality Engineer will ensure rigorous data normalisation and correct population across a large-scale data pipeline; manage workflows that handle breached information and other sensitive data in line with privacy controls and data contracts; and enhance and maintain our in-house synthetic test data generator to power regression suites and privacy-preserving test scenarios.

We value self-starting, self-driven and proactive engineers who thrive in a fast-paced, startup-like environment and can adapt to frequent changes in direction.

Responsibilities

Implement data validations for key datasets and ETL jobs, including checks for schema compliance, nulls, ranges, referential integrity, and anomaly detection.

Build and maintain regression test suites for the top data products, scaling validation coverage as new data flows are onboarded.

Partner with the lead engineer to automate dataset provisioning for integration tests, enabling consistent and repeatable test runs.

Support validation and testing for internal products (DWM and Vela), and additional core data products as they evolve.

Contribute to CI pipelines with red/green checks on data contracts.

Collaborate with team members to deliver synthetic datasets and validation strategies aligned to data privacy requirements.

Qualifications

Strong experience in SQL and Python for data validation, ETL testing, and regression authoring.

Background in data quality assurance, with experience implementing schema and referential integrity validations.

Hands-on familiarity with CI/CD pipelines (e.g., GitHub Actions, AWS CodeBuild, or similar).

Experience with synthetic/test data management and automation for integration test environments.

Our benefits:

-Health and dental insurance

-Meal and food allowance

-Childcare assistance

-Extended paternity leave

-Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass;

-Profit Sharing and Results Participation (PLR);

-Life insurance

-Continuous learning platform (CI&T University);

-Discount club

-Free online platform dedicated to physical, mental, and overall well-being

-Pregnancy and responsible parenting course

-Partnerships with online learning platforms

-Language learning platform

And many more

More details about our benefits here:

At CI&T, inclusion starts at the first contact. If you are a person with a disability, it is important to present your assessment during the selection process. This way, we can ensure the support and accommodations that you deserve. If you do not yet have the assessment, don't worry: we can support you in obtaining it.

We have a dedicated Health and Well-being team, inclusion specialists, and affinity groups who will be with you at every stage. Count on us to make this journey side by side.