data engineer for risk management in capital markets

EPAM Systems develops digital products and technology services for risk managers, quants, and other key stakeholders.

• Design, develop, and improve digital products and technology services for risk managers, quants, and other key stakeholders
• Apply engineering standards across user-needs analysis, feature development, automated testing, and deployment
• Ensure solution quality, security, reliability, and compliance by applying digital principles and implementing functional and non-functional requirements
• Build observability into solutions, monitor production health, help resolve incidents, and remediate root causes of risks and issues
• Represent and advocate for client and business needs
• Share knowledge and expertise with colleagues, help with hiring, and contribute to internal engineering communities

• 2+ Years of professional experience in Data Engineering, ETL development, or software application development
• Strong hands-on expertise in Python, PySpark, and ETL development
• Proven experience with Databricks and large-scale data processing workflows
• Knowledge of Oracle databases, SQL, and data modeling
• Strong analytical, troubleshooting, and problem-solving skills
• Experience working in Agile environments and collaborating across cross-functional teams
• English proficiency at Upper-Intermediate level (B2) or higher
• Будет плюсом: experience in capital markets, working knowledge of financial instruments, experience with Unix/Linux, Shell scripting and enterprise scheduling tools (e.g., AutoSys), hands-on development background in Java or C#

• Hybrid model with 3 days per week working from the client’s office in Wrocław or Kraków, Poland