Data Engineer (PySpark, Databricks)

EPAM Systems; Polska; Hybrid; PLN 120,000 - 180,000; Full time

Job summary

EPAM Systems in Poland is seeking a Data Engineer to design, develop, and enhance data products and technology services for risk managers, quants, and other stakeholders. You will apply modern engineering practices to build reliable, secure, and high-quality data solutions while collaborating with cross-functional teams in a hybrid environment.

This role emphasizes ETL development, Databricks, Python, SQL, and data modeling, with opportunities to influence architecture and governance.

Qualifications

• 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 effectively across cross-functional teams.
• English proficiency at an Upper-Intermediate level (B2) or higher.
• Nice to have Experience in capital markets and 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#.

Responsibilities

• Design, develop, and improve digital products and technology services provided to risk managers, quants, and other key stakeholders.
• Apply a broad range of engineering standards — from analyzing user needs and developing new features to automated testing and deployment.
• Ensure the quality, security, reliability, and compliance of our solutions by applying digital principles and implementing both functional and non-functional requirements.
• Build observability into solutions, monitor production health, help resolve incidents, and remediate root causes of risks and issues.
• Understand, represent, and advocate for client and business needs.
• Share knowledge and expertise with colleagues, help with hiring, and contribute regularly to internal engineering communities.

Skills

English (B2+)

Analytical thinking

Troubleshooting

Problem solving

Cross-functional collaboration

Tools

Python

PySpark

ETL development

Databricks

Oracle

SQL

Shell scripting

Unix/Linux

AutoSys

Java

C#

Job description

We are seeking a skilled Data Engineer to design, develop, and enhance digital products and technology services for risk managers, quants, and other key stakeholders. In this role, you will apply modern engineering practices to build reliable, secure, and high-quality data solutions while collaborating with cross-functional teams in a dynamic environment.

This role offers a hybrid model, with 3 days per week working from the client's office in Wrocław or Kraków, Poland.

Responsibilities

• Design, develop, and improve digital products and technology services provided to risk managers, quants, and other key stakeholders
• Apply a broad range of engineering standards — from analyzing user needs and developing new features to automated testing and deployment
• Ensure the quality, security, reliability, and compliance of our solutions by applying digital principles and implementing both functional and non-functional requirements
• Build observability into solutions, monitor production health, help resolve incidents, and remediate root causes of risks and issues
• Understand, represent, and advocate for client and business needs
• Share knowledge and expertise with colleagues, help with hiring, and contribute regularly to internal engineering communities

Requirements

• 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 effectively across cross-functional teams
• English proficiency at an Upper-Intermediate level (B2) or higher
• Nice to have Experience in capital markets and 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#