Data Engineer

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Data Engineer

Ref: JO-2603-359957

• Hungary, Budapest

• Data, AI and Machine Learning, Technology

• IT

• 250 - 999 Employees

• Environment:

  Hybrid

• Contract Type:

  Contract

• Starts:

  2026-04-13

• Duration:

  12 Months

Role Overview

We are seeking an experienced Data Engineer to build, optimise, and support enterprise-scale data platforms and pipelines. This is a hands-on role focused on developing robust, production-ready data solutions and supporting the migration of large legacy data platforms to modern cloud-based architectures.

The role is based in Budapest, operating in a hybrid model with three days per week on-site, working closely with local stakeholders and distributed global teams.

Key Responsibilities

• 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 and support 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 well-designed, production-ready data solutions
• Ensure pipelines meet enterprise standards for data quality, monitoring, security, and resilience
• Work effectively within distributed global teams, contributing to engineering discussions and delivery across time zones
• Troubleshoot and resolve data pipeline and platform issues in production environments

Required Skills & Experience

• 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 across regions and time zones
• Fluent Hungarian (spoken and written)
• Willing and able to work three days per week from the Budapest office

Nice to Have

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

*Rates depend on experience and client requirements