Data Engineer (w/m/d)
Tasks
- Contribute to data architecture
- Deliver data products for business intelligence analytics AI and automation
- Design data models
- Develop cloud and lakehouse platforms
- Develop data pipelines
- Ensure data availability
- Ensure data performance
- Ensure data quality
- Implement data-driven solutions
- Integrate and harmonize data from SAP and non SAP systems
- Monitor data pipelines
- Operate and optimize data pipelines
Perks/Benefits
- Bike leasing program
- Company pension scheme
- Employee discounts
- Flexible working hours
- Free parking
- Home office
- Modern office facilities
- Occupational health services
- Physiotherapy services
- Professional development support
- Public transport access
- Subsidized lunch
Skills/Tech-stack
Apache Spark | Azure Databricks | Business Data Cloud | Business Intelligence | Cloud Data | Cloud Data Platforms | Data Modeling | Data Pipeline Monitoring | Data Quality | Data cloud | Data integration | Data pipeline | Data platforms | ELT | ETL | Lakehouse | Pipeline monitoring | PySpark | Python | SAP Business | SAP Business Data Cloud | SAP Datasphere | SQL
Education
N/A
Roles
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