Senior Data Engineer

This is a remote position.

We are seeking a Data Engineer to join a cross-functional delivery team working on the development of data lakes , analytical platforms , and real-time streaming solutions using modern Azure technologies . This role offers the opportunity to work in an Agile environment with direct access to product and business owners, shaping high-impact data products from concept to deployment.

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
• Originally posted on Himalayas