Hybrid Data Engineer — PySpark & Databricks, Risk Tech

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

Benefits offered by this job

Health insurance

Multisport

Shopping vouchers

Employee Stock Purchase Plan

Relocation assistance

Hybrid work model

Job summary

EPAM Systems in Poland is seeking a Data Engineer to design, develop, and optimize data solutions for risk managers, quants and other stakeholders. The role emphasizes Python, PySpark, Databricks, and ETL workflows in a collaborative, hybrid environment.

You will build reliable data pipelines, ensure data quality and security, and work with cross-functional teams to deliver scalable analytics products. English proficiency at B2+ is required, with Kraków or Wrocław as potential hubs.

Qualifications

• 2+ years in data engineering, ETL, or software development.
• Strong hands-on Python and PySpark experience.
• Databricks, SQL, and Oracle knowledge; Unix/Linux and shell scripting.

Responsibilities

• Design, develop, and optimize data pipelines and analytics solutions.
• Collaborate with risk managers, quants, and stakeholders to gather requirements.
• Ensure data quality, security, and compliance across data platforms.

Skills

Python

PySpark

ETL development

Data modeling

Agile

English (B2+)

Tools

Databricks

Oracle

SQL

Unix/Linux

AutoSys

Java

C#

Job description

EPAM Systems in Poland is seeking a Data Engineer to design, develop, and optimize data solutions for risk managers, quants and other stakeholders. The role emphasizes Python, PySpark, Databricks, and ETL workflows in a collaborative, hybrid environment.

You will build reliable data pipelines, ensure data quality and security, and work with cross-functional teams to deliver scalable analytics products. English proficiency at B2+ is required, with Kraków or Wrocław as potential hubs.