Informacje o stanowisku

technologies-expected :

• Databricks
• PySpark
• SQL
• ADF
• Storage
• SQL DB
• Lakehouse
• Medallion
• Git
• Azure DevOps

• Microsoft Power BI

• We are looking for a Data Engineer (mid-level) to support the development of a modern data platform in Azure. This role combines hands-on engineering with collaboration in a client-facing environment.

• 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)

• 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+

• 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

• sharing the costs of sports activities
• life insurance

Warszawa - Oferty pracy w okolicznych lokalizacjach