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Overview
Join Exness as a QA Engineer in the Trading Data Flow team, responsible for ensuring the quality of data integration products and supporting business development with data-driven decision making. At Exness, we are not just a leading trading broker - we’ve reimagined what it takes to be a leader. With 40M+ trades a day and 2,000+ people across 13 countries, we combine scale, care, and real tech to make trading better for 1M+ clients worldwide. Recognised globally as a Best Place to Work, we’re a people-first company where long-term wins always matter more. As part of our team, you will shape the future of fintech with real technology, care, and purpose.
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.
What we offer
- •Full relocation support for you and your family to make your move smooth and worry-free.
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, 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.