Senior Data Engineer

This is a remote position.

Main Responsibilities

• Design, build, and monitor ETL pipelines using Azure and Spark technologies
  

• Implement scalable, cloud-native data processing workflows using PySpark
  

• Configure and operate core Azure services: Databricks, Azure Data Factory, Azure Data Lake Storage, and Azure Functions
  

• Collaborate closely with analysts, data scientists, and software engineers to deliver robust data solutions
  

• Translate business needs into reliable and secure data products
  

• Ensure data quality, governance, and performance best practices across solutions
  

Requirements

• At least 4 years of professional experience in data engineering
  

• Proven experience with large-scale data processing and transformation pipelines
  

• Hands-on knowledge of Azure or other major cloud platforms
  

• Solid coding skills in Python (especially pandas/numpy) and SQL
  

• Familiarity with Git workflows in a collaborative development setting
  

• Fluency in Polish and English (C1 minimum level in English required)
  
  

Nice to Have

• Experience with Linux/Bash scripting
  

• Familiarity with Docker or Kubernetes
  

• Domain experience in retail, financial services, energy, or the public sector
  

Benefits

• Solid, competitive salary.
  
• Work in multilingual, multinational and multicultural environment on international projects
  
• Medical care