Senior Data Engineer - Procurement Analytics & AI (d/m/f/x)
Tasks
- Build scalable data pipelines
- Collaborate with stakeholders
- Contribute to data architecture
- Design data pipelines
- Develop data products
- Ensure data quality
- Explore data sources
- Implement backend features
- Implement data models
- Improve reliability and uptime
- Integrate new data sources
- Monitor production data solutions
- Operate data pipelines on Azure
- Perform error analysis
- Support agile development
- Translate business requirements into technical concepts
Perks/Benefits
- Barrier-free workplace
- Cafeteria
- Child care
- Coaching
- Company pension
- Employee discounts
- Employee events
- Flexible working hours
- Free parking
- Health measures
- Hybrid work
- Meal allowance
- Mobile phone allowance
- Mobility options
- On-site doctor
Skills/Tech-stack
Agile | Automated testing | Azure Data | Azure Data Explorer | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Databricks | Azure Event | Azure Event Hubs | Azure Synapse | Azure Synapse Analytics | CI/CD | Data Explorer | Data Factory | Data Lake Storage | Data Modeling | Data Quality | Deployment Automation | DevOps | Event Hubs | Kanban | Monitoring | Python | SQL | Scrum | Synapse Analytics
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
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