Data Engineer

Data Engineer
Location: Budapest, Hungary (Hybrid - 3 days per week in office)

About the Company
Our client is a global technology and digital transformation consultancy, supporting enterprise organisations in delivering large-scale data, cloud, and AI initiatives. They partner with businesses across multiple industries to modernise Legacy platforms, unlock data value, and deliver measurable outcomes.
Operating at enterprise scale, their teams work across international locations, solving complex data and platform challenges within regulated environments, while maintaining a strong engineering culture and collaborative approach.

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 Legacy data platforms to modern cloud-based architectures.
The role is based in Budapest, with a hybrid working model requiring three days per week on site, working closely with local stakeholders and 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 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

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
Fluent Hungarian (spoken and written)
Willing and able to work three days per week from the Budapest office

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