Senior Data Engineer

XTB online investing; Warszawa; Hybrid; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Hybrid work model

Private medical care

MyBenefit platform

Sport card

Language learning platform

Meal co-financing

Job summary

XTB online investing is seeking a Senior Data Engineer to help build and optimize risk data capabilities in a hybrid Warsaw-based setup. You will design scalable data pipelines, models and data quality controls while collaborating with risk specialists and analytics teams.

You will work with modern data engineering practices, data platforms, and cloud warehouses to support regulatory reporting and risk management at scale.

Qualifications

• Several years of professional experience in Data Engineering or analytics engineering.
• Strong SQL skills with complex transformations and large datasets.
• Proficient Python for data processing and automation.
• Experience designing and maintaining ETL/ELT pipelines in production.
• Experience with modern cloud data warehouses.
• Understanding of data modeling, data quality and data governance.
• Experience with version control and software engineering practices for data solutions.
• Ability to independently analyse complex problems and design pragmatic, maintainable solutions.
• Strong communication and collaboration with technical teams and business experts.
• Good command of English.

Responsibilities

• 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.

Skills

SQL

Python

ETL/ELT

Data modeling

Data governance

Data quality

Large datasets

Version control

Testing

English communication

Tools

DataBricks

Cloud data warehouses

Python data libs

Job description

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 certifiedGreat 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.

What you will be reponsible for:

• 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.

What we are looking for:

• Several years of professional experience in Data Engineering, Analytics Engineering or a similar technical role.
• Strong practical knowledge of SQL, including working with complex transformations and large datasets.
• Good knowledge of Python for data processing, automation and integration.
• Experience designing and maintaining ETL/ELT pipelines in production environments.
• Experience with modern cloud data warehouses
• Good understanding of data modelling, data quality and data governance principles.
• Experience with version control, testing and software engineering practices applied to data solutions.
• Ability to independently analyse complex problems and design pragmatic, maintainable solutions.
• Strong communication skills and the ability to work effectively with both technical teams and business experts.
• Good command of English.

What we offer:

• Stable employment based on an employment contract
• A clear development path supported by regular feedback and transparent career progression
• Hybrid work model
• Equipment tailored to your needs
• Wide range of benefits like private medical care, myBenefit platform, sport card, language learning platform, meal co-financing at the office and more

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.