Data Engineer

Quick Facts

• Role: Data Engineer
• Domain: Tax and finance projects (often for U.S. clients)
• Collaboration hours: Aligned with Polish time

Description

Design, build, and optimize scalable data pipelines (ETL/ELT) using PySpark. Implement and evolve data warehouses and lakehouses based on Databricks (Delta Lake) and/or Snowflake, with strong focus on data quality, reliability, and monitoring. Apply DataOps best practices and CI/CD, and work directly with U.S.-based engineering and business stakeholders.

Responsibilities

• Design, build, and optimize scalable ETL/ELT pipelines in PySpark
• Develop and maintain data warehouses and lakehouses with Databricks and Snowflake
• Collaborate with engineers and business stakeholders from U.S. clients
• Ensure data quality, reliability, and monitoring at large scale
• Implement DataOps practices and CI/CD

Requirements

• Experience as a Data Engineer or closely related role
• Very good knowledge of Python/PySpark and SQL
• Practical experience with Databricks (Delta Lake) or Snowflake
• Knowledge of at least one of AWS, Azure, or GCP
• English proficiency at least B2/C1
• Polish proficiency for fluent communication

Benefits

• B2B collaboration model
• Real impact on architecture in advanced projects for U.S. clients
• Tax and finance domain projects
• Working hours aligned with Polish time