Data Engineer (Azure / Databricks)

Technologies we use

About the project

Your responsibilities

• Design and develop scalable data pipelines using Databricks, PySpark, Python, and SQL
• Build and maintain ETL/ELT workflows (Azure Data Factory)
• Work with modern data architectures (Data Lake / Lakehouse)
• Integrate and transform data from multiple sources
• Collaborate with business and technical stakeholders
• Participate in CI/CD processes for data workflows
• Support data modeling and analytics integration (e.g. Power BI)

Our requirements

• 2–6 years of experience in Data Engineering
• Strong experience with: Databricks ecosystem; PySpark & SQL
• Experience with: Azure Data Services (ADF, Storage, SQL DB); Data modeling and ETL/ELT design
• Understanding of Lakehouse / Medallion architecture
• Experience with CI/CD (Git, Azure DevOps)
• Strong communication and stakeholder management skills
• English level: B2+

Optional

• Power BI
• Unity Catalog
• Experience in enterprise-scale projects

This is how we work on a project

What we offer

• Work in a hybrid model (Warsaw office)
• Opportunity to join a large-scale, global data project
• Modern cloud-based tech stack
• Stable contract with extension
• Fast onboarding process

Benefits