Big Data Data Engineer

Quick Facts

• Big Data Data Engineer (onsite/hybrid)
• Location: Kraków, Poland

Description

Design, build, and maintain scalable data pipelines and Big Data data architecture. Execute complex data analysis and advanced SQL querying, using Spark-based processing to deliver high-quality solutions from business requirements. Ensure data quality, integrity, and performance across platforms while contributing to Agile delivery and continuous improvement.

Responsibilities

• Design, build, and maintain scalable data pipelines and data architecture in a Big Data environment
• Execute complex data analysis and develop advanced SQL queries
• Collaborate with cross-functional teams to understand data requirements and deliver solutions
• Ensure data quality, integrity, and performance across platforms
• Translate business requirements into technical solutions with stakeholders
• Contribute to Agile delivery processes and continuous improvement initiatives

Requirements

• 5+ years of relevant Data Engineering experience in a Big Data environment
• Strong expertise in complex data analysis and advanced SQL querying
• Proficiency in Scala
• Hands-on experience with Spark and Big Data processing frameworks
• Cloud experience, preferably Azure
• Familiarity with Databricks
• Power BI (or similar BI tools) experience is a strong advantage
• Solid understanding of Agile methodologies and delivery practices
• Strong analytical, data management, and problem-solving skills
• Excellent communication skills with global stakeholders
• Fluent English (written and spoken)

Benefits

• Opportunity to work on large-scale, impactful data projects
• Collaborative and international team environment
• Modern tech stack and cloud-based infrastructure
• Career growth and development opportunities