Data Engineer

• Build, maintain, and optimise enterprise-grade data pipelines using modern ELT/ETL patterns
• Develop and support data solutions on Snowflake, ensuring performance, reliability, and scalability
• Contribute to data migrations from Hadoop, Spark, and other large-scale big data platforms to cloud-native architectures
• Implement data ingestion, transformation, and orchestration processes for high-volume, business-critical datasets
• Collaborate with Data Architects, Analytics teams, and business stakeholders to deliver production-ready data solutions
• Ensure pipelines meet enterprise standards for data quality, monitoring, security, and resilience
• Work effectively within distributed global teams across regions and time zones
• Troubleshoot and resolve data pipeline and platform issues in production environments

• Strong hands-on experience with Snowflake in enterprise production environments
• Proven experience supporting or delivering migrations from Hadoop, Spark, or other large-scale big data platforms
• Experience working in large, enterprise-scale data environments (not small or start-up platforms)
• Solid track record building and maintaining production-grade ELT/ETL pipelines
• Good understanding of modern data engineering practices, distributed systems, and cloud data platforms
• Comfortable collaborating with globally distributed teams
• Fluent Hungarian (spoken and written)
• Willing and able to work three days per week from the Budapest office

• Experience in consulting or multi-client delivery environments
• Exposure to AWS, Azure, or GCP
• Familiarity with data governance, security, and enterprise data management frameworks

Hybrid