Data Engineer

Quick Facts

• Role: Data Engineer

Description

The Data Engineer designs, operates, and continuously improves data platforms and processing workflows supporting the management, preservation, discovery, and use of scientific data. The role combines administration of databases and storage systems with development of reliable data pipelines and automated data-quality controls for governed data products used in analytics, Data, and AI projects. Data services must remain secure, observable, scalable, documented, and recoverable throughout their lifecycle.

Responsibilities

• Operate and maintain database, metadata, and storage services for scientific data management and archiving
• Design and manage data pipelines for ingestion, validation, transformation, and publication
• Develop and maintain data-processing workflows, APIs, and integrations
• Ensure data quality via automated validation, monitoring, and issue resolution
• Prepare secure, documented datasets for analytics, machine learning, and Data/AI initiatives
• Administer Apache Cassandra, MySQL, Apache Jena, and S3-compatible object storage across environments
• Implement monitoring, logging, backup, recovery, and disaster-recovery procedures
• Troubleshoot incidents, optimize performance, and ensure platform reliability, security, and scalability
• Automate operational tasks and maintain technical documentation
• Collaborate with research and application teams to improve data services and infrastructure

Requirements

• University degree in computer science/data engineering/software engineering/information systems or related field, or equivalent practical experience
• Demonstrated experience operating production data platforms and building reliable data-processing/integration solutions
• Strong SQL skills and practical experience with Python (or comparable language)
• Understanding of ETL/ELT patterns, data modeling, APIs, workflow orchestration, schema management, data quality, and data observability
• Hands-on experience with Apache Cassandra, MySQL, RDF/SPARQL, Apache Jena, and S3-compatible object storage (distributed systems is an advantage)
• Experience with Linux, networking fundamentals, and monitoring/logging tools (Prometheus, Zabbix), including performance analysis, capacity planning, and incident troubleshooting
• Experience with Git, automated testing, CI/CD, configuration management, containers, or infrastructure as code (desirable)

Benefits

• Attractive remuneration package based on education and experience
• International research environment near Prague (Dolní Břežany) with excellent public transport connections
• Friendly workplace with a positive societal impact
• Opportunities for professional growth and skill development
• Full-time employment
• 5 weeks of holidays and 6 days of personal leave
• Meal allowance, pension contribution, Resaver pension fund, and other benefits