Data Engineer (m/w/d)
Tasks
- Build and maintain ETL and ELT processes
- Collaborate with data analysts for Power BI dashboards and machine learning models
- Contribute to scalable data architecture with test staging and production environments
- Create API based data integrations
- Design and build data pipelines
- Develop and operate modern data platforms on Microsoft Azure and Microsoft Fabric
- Ensure data quality and reproducibility
- Implement incremental data loading processes
- Implement monitoring and logging and error handling
- Optimize performance and costs of data workflows
Perks/Benefits
- 30 vacation days
- Career development
- Corporate benefits
- Employee discounts
- Flexible working hours
- Free drinks
- Free parking
- Fresh fruit
- Home office days
- Hybrid work
- Job ticket subsidy
- Team events
- Unrestricted contract
Skills/Tech-stack
API Integration | Apache Airflow | Azure Data | Azure Data Factory | Azure DevOps | Azure Synapse | Azure Synapse Analytics | CI/CD | DBT | Data Factory | Data Modeling | Data Quality | Data Quality Management | Delta Lake | ELT | ETL | GitHub Actions | Logging | Machine Learning | Microsoft Azure | Microsoft Fabric | Monitoring | Performance Tuning | Power BI | Python | Quality management | SQL | Synapse Analytics
Education
N/A
Roles
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