Senior Data Engineer (PySpark, Databricks)

EPAM Systems; Polska; Hybrid; PLN 110,000 - 160,000; Full time

Job summary

EPAM Systems Inc in Poland seeks a Senior Data Engineer to design, develop, and enhance data solutions for risk managers and quants. You will build scalable data pipelines using Python, PySpark, Databricks, and SQL, ensuring quality, security, and compliance.

The role is hybrid with 3 days per week at the client’s office in Wrocław. You will work with cross-functional teams, contribute to observability, and help shape data architecture while collaborating with stakeholders and internal

Qualifications

• 3+ 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.
• Hands-on development background in Scala.

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

Python

PySpark

ETL development

SQL

Data modeling

Analytical thinking

Problem solving

Agile methodologies

English (B2+)

Cross-functional collaboration

Tools

Databricks

Scala

Oracle

Job description

We are seeking a skilled Senior 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, 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

• 3+ 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
• Hands-on development background in Scala