QA Engineer (Data Stack)

At Exness, we are not just a leading trading broker—we’ve reimagined what it takes to be a leader. With 2,000+ people across 13 countries, we combine scale, care, and real tech to make trading better for over a million clients globally.

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.

Why this role matters

As a Quality Assurance Engineer, you will join the Trading Data Flow team, responsible for integrating and processing trading-related data across Exness. You will be actively involved in the projects and initiatives of our cross-functional team.

We develop a range of data products, including a Data Warehouse (DWH), data integration and streaming tools, and APIs. We collaborate with other teams to collect data from various sources and provide internal customers with data marts, aggregated and streaming data. These solutions support data-driven decision-making and contribute to business development at Exness.

You will take ownership of the end-to-end testing process, including defining test strategies, improving tools and processes, performing validation, and running E2E test suites. Working in a highly collaborative environment, you will help the development team move faster with greater confidence in quality.

We expect you to dive deep into our data and business domain, understand the MetaTrader data model and the business logic behind our data marts, assist developers in investigating bugs, occasionally perform data analysis, and proactively suggest improvements.

We are looking for a versatile QA Engineer who is ready to contribute to the team's success. In return, you can expect your contributions to be valued and recognised.

The role is based in our Limassol office, Cyprus. In case of relocation, we offer full relocation support for you and your family to make your move smooth and worry-free.

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 …

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