Data Engineer — Data Platform at greeHill Europe Kft. – Budapest | Jobyssey

Build, operate, and improve production data pipelines using Python, Airflow, Kubernetes, and related technologies
Design scalable data pipelines and data models for growing data volumes and processing needs
Improve testing, monitoring, observability, data quality, CI/CD, and documentation across data workflows
Evaluate and introduce suitable processing tools, including flow-based systems such as Apache NiFi
Optimize PostgreSQL schemas, queries, and data access patterns
Improve existing systems incrementally while maintaining reliable production operation
Collaborate with ML engineers, data scientists, product teams, and other engineers
Take ownership of technical problems from design through deployment and operation
Contribute to the ongoing evolution of our data platform and architecture

Professional experience building and operating production data pipelines
Strong Python skills and experience writing maintainable production code
Hands-on experience with workflow orchestration tools such as Apache Airflow or comparable systems
Good understanding of data pipeline and orchestration design
Working knowledge of PostgreSQL or similar relational databases, including schema design and query performance
Experience with Docker and Kubernetes
Experience improving and maintaining existing production systems
Familiarity with testing, monitoring, data quality, and CI/CD practices
Strong problem-solving skills and the ability to work autonomously within an agreed technical direction

Experience with Apache NiFi or other flow-based or dataflow tools
Experience designing or modernizing data platforms and architectures
Experience with geospatial, GIS, LiDAR, sensor, remote sensing, or large-scale scientific data
Experience with cloud infrastructure and distributed data processing
Experience in startup or scale-up environments
Experience in mentoring or technical leadership

Data Engineer — Data Platform

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