Role description
We re looking to hire a Quality Engineer (QE) for a data platform, not a data migration project. I want to be very clear on the profile we need, as this is different from a migration focused QE.
This role sits alongside data engineers on a live data platform, with a strong focus on preventing data quality issues, embedding quality checks into pipelines, and supporting ongoing platform stability.
Role Summary
We need a Senior QE who understands how data platforms break, can design automated data quality checks, and works closely with engineers to ensure trustworthy data at scale.
This is not a manual testing or UAT sign off role.
Must Have Skills (Non Negotiable)
- Strong SQL
Used for investigation, root cause analysis, and validating data quality issues
- Data pipeline understanding
Experience testing data across ingestion, transformation, and consumption layers
- Automated data quality testing
Experience creating automated checks such as:
- Null, range, and validity checks
- Volume and freshness checks
- Schema change detection
- Anomaly or threshold based s
- Engineering adjacent mindset
Comfortable working day to day with data engineers
Understands CI/CD concepts and where data quality checks should run
- Data quality fundamentals
Clear understanding of accuracy, completeness, timeliness, consistency, validity, and uniqueness and how to turn these into checks
Nice to Have Skills
- Experience with tools or frameworks such as dbt tests, pytest, Great Expectations, Soda, or similar
- Cloud data platform exposure (Azure, AWS, or GCP)
- Orchestration awareness (ADF, Airflow, etc.)
- Familiarity with data observability and monitoring concepts
- Azure DevOps or Jira for managing quality work and incidents
What This Role Is NOT
- Not a data migration QE
- Not manual or spreadsheet driven testing
- Not a UI or UAT role
- Not someone who only reports defects after the fact
Candidates who mainly describe one off reconciliation, sign off testing, or Excel heavy approaches are unlikely to be a good fit.
Ideal Candidate Profile
Someone who proactively builds quality into data pipelines, automates checks where it matters, and works with engineers to stop bad data getting into production not just detect it afterwards.
Skills
etl testing,sql,automated data quality testing,data pipeline,data quality management,
About UST
UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.
