Senior Data QA Engineer

BraverIT; Kraków; Hybrid; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Multisport card

Healthcare

Fully remote work

Job summary

BraverIT is seeking a Senior Data QA Engineer to ensure the quality, reliability, and accuracy of our data pipelines. You will design and maintain data tests, implement end-to-end testing strategies, and build monitoring and dashboards to track data health across the full pipeline while collaborating with analytics, data science, and platform teams.

This is a fully remote role based in Poland, offering international project exposure, rapid career growth, and competitive benefits including

Qualifications

• 5+ years of experience in data engineering or backend data systems.
• Strong proficiency in Python and SQL, including complex joins and analytics.
• Experience with data testing frameworks and monitoring.
• Experience with Snowflake or similar data platform.
• Familiarity with data security, access control, and governance.

Responsibilities

• Design and maintain data tests and quality checks across full pipelines.
• Create and execute end-to-end testing strategies for data pipelines.
• Implement monitoring, logging, and alerting for data workflows.
• Define and track SLAs for data freshness, completeness, and accuracy.
• Build dashboards to monitor data quality.
• Collaborate with analytics, data science, and platform teams on scalable solutions.
• Contribute to code reviews and engineering standards; mentor juniors.

Tools

Python

SQL

Snowflake

AWS S3

GitHub

Job description

We are looking for a Senior Data QA Engineer who will be responsible for testing data pipelines and ensuring their quality, reliability, and accuracy.

Your responsibilities

• Design and maintain data tests and quality checks across the full pipeline
• Create and execute end to end testing strategies for data pipelines
• Implement monitoring, logging, and alerting for data workflows
• Define and track SLAs for data freshness, completeness, and accuracy
• Build scorecards and dashboards to monitor data quality
• Identify and resolve issues related to data quality, performance, and reliability
• Collaborate with analytics, data science, and platform engineering teams on scalable solutions
• Contribute to code reviews, engineering standards, and support junior team members

Our requirements

• 5+ years of experience in data engineering or backend data systems
• Strong proficiency in Python or a similar programming language
• Strong SQL skills, including complex joins and window functions
• Experience building or implementing automation testing frameworks
• Experience working with Snowflake or a similar data platform
• Experience working with AWS S3 or other cloud object storage
• Understanding of data warehousing and data modeling, including star and snowflake schemas
• Good knowledge of GitHub best practices
• Understanding of data security, access control, and governance

What we offer

• Fully remote work
• Benefits including a multisport card and healthcare
• Opportunities to work on international projects
• Rapid career growth and promotion opportunities