Data Engineer
Budapest - Budapest, Hungary
HUF 16150K-20100K (estimate) Mid-level Full Time
Tasks
- Automate data engineering tasks using AI tools
- Collaborate with architects in peer code reviews
- Design and implement scalable ETL/ELT pipelines
- Develop governed data products as single sources of truth
- Implement data validation, testing, and monitoring
- Manage pipeline deployment across Dev QA Production
- Model and maintain enterprise data models
- Monitor pipeline performance and troubleshoot failures
- Translate business requirements into data pipeline logic
- Use Git for version control of pipeline code and configurations
- Write SQL transformations and data processing logic
Perks/Benefits
- Career development opportunities
- Employee discounts
- Fitness discounts
- Flextime
- Healthy work-life balance
- Hybrid work model
- Meal tickets
- Premium medical subscription
- Progressive holiday plan
- Sick days
- Technical trainings
- Weekend holiday compensation
Skills/Tech-stack
API Integration | AWS | Agile | Azure | Data Modeling | Data Pipelines | Data Quality | Data Validation | Databricks | Delta Lake | Distributed Processing | ELT | ETL | Git | JSON | Lakehouse | Medallion Architecture | Monitoring | Performance optimization | Power BI | Python | Qlik | REST APIs | SQL | Spark | Tableau | Testing
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Data Analytics | Bachelor of Science in Information Systems
Roles
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