QA Engineer (Data Stack)

Engineer

QA Engineer (Data Stack)

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  • Date posted
    April 21, 2026
  • Expiration date
    July 21, 2026
  • Application ends
    July 21, 2026

As a Quality Assurance Engineer, you will be a part of the Trading Data Flow team. The team is responsible for integration and processing of all trading-related data within the company.

 

What you’ll actually do

  • Collaborate in the planning, design, development, deployment, and enhancements of data integration products and DWH.
  • Develop, construct and maintain test suites to verify the validity and accuracy of Data Integration and ETL processes.
  • Drive AI integration (e.g., agents, LLMs) across QA processes, including monitoring, testing, data quality assurance, and automated code review.
  • Collaborate with the team to define and describe data policies, standards, and guidelines for other teams to connect their data sources.
  • Collaborate with the team on designing and implementing reconciliation, monitoring, alerting, and other data quality processes.
  • Investigate with the team data quality issues and work on data quality improvement.
  • Ensure data solutions quality will support business requirements
  • Help with the definition and implementation of the best practices within the team that ensure the quality of the data solutions.
  • Collaborate with the team members on troubleshooting and resolving issues.
  • Analyze and test new features before the kick-off meetings.
  • Participate in user acceptance testing.

Who We’re Looking For

 

  • 4+ years of proven experience as a Quality Assurance Engineer.
  • Proven experience leveraging AI tools and agents (e.g., Cursor, Cursor, Claude Code, Codex) to enhance QA efficiency and process orchestration.
  • Expert SQL knowledge (especially in ClickHouse) is a must-have.
  • Automation experience with Python (pytest).
  • Experience with data streaming products (like Kafka Connect, Flink) is a must-have.
  • Hands-on testing experience in working with stream processing systems is a plus.
  • Strong Experience with Docker/k8s is a plus
  • Experience with Grafana, PagerDuty, Terraform is a plus.
  • Understanding of data modeling, warehousing, ETL, and data integration techniques.
  • Experience influencing software engineers with the best practices within your team.
  • Excellent analytical and problem-solving skills.
  • Result-driven orientation (prioritizing, taking the initiative, taking ownership).
  • Excellent verbal and written communication skills.
  • Spoken and written English – upper-intermediate level or above.
  • Are you interested in this position?

     

    Apply by clicking on the “Apply Now” button below!

     

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