Senior Data Engineer

XTB is a global company from the financial industry, focusing on online trading of financial instruments. We are the largest FinTech in Poland and a leader in Central and Eastern Europe, and the range of our operations covers several countries, including Asia and South America. At XTB, we focus on the development of our employees, giving them opportunities to gain knowledge and skills in various fields, as well as offering a number of training and development programs. If you are looking for challenges and want to gain valuable experience in an international business environment, XTB is the right place for you.

We are a certified Great Place to Work company.

We are looking for a Senior Data Engineer who will play an active role in developing XTB’s risk data capabilities, supporting the design, integration and automation of data solutions used across the Risk and Regulatory Reporting function. The role combines hands-on engineering with technical ownership. You will work closely with risk specialists, quantitative analysts and technology teams, build and improve data pipelines and models, strengthen data quality and help develop a scalable and reliable data environment supporting risk management across XTB.

Design, build and maintain robust and scalable data pipelines supporting risk management and regulatory reporting processes across the XTB Group.

Develop and optimise data models and datasets used for financial risk, capital adequacy, enterprise risk management and regulatory reporting.

Integrate data from multiple internal systems and ensure its consistent transformation and availability within the data platform.

Build automated data quality controls, reconciliation mechanisms and monitoring to ensure completeness, accuracy and timeliness of risk data.

Develop solutions that reduce manual processes and increase the level of automation within the Risk Control Department.

Work with large datasets covering trading activity, client exposures, financial instruments, market data and regulatory information.

Cooperate with risk specialists and quantitative analysts to translate business and regulatory requirements into effective technical solutions.

Support the development of the Risk data architecture, including solutions based on DataBricks and modern data engineering practices.

Identify performance bottlenecks and continuously improve the reliability, maintainability and efficiency of existing data processes.

Contribute to engineering standards, code reviews and technical design decisions within the team.