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

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

data engineer for risk management in capital markets

Skills