Data Engineer (w/m/d)
Tasks
- Collaborate with business teams and BI teams
- Continuously optimize data pipelines
- Design data architecture
- Design data models
- Develop cloud platforms
- Develop data pipelines
- Develop lakehouse platforms
- Ensure data quality
- Harmonize data
- Integrate data from SAP and non SAP systems
- Monitor data performance and availability
- Operate data pipelines
- Provide data products
- Support business intelligence analytics AI and automation
Perks/Benefits
- Bicycle leasing
- Company pension
- Flexible working hours
- Home office
- Meal benefits
- Mental health support
- Physiotherapy
- Public transport pass
Skills/Tech-stack
Apache Spark | Azure Databricks | Big Data | Business Data Cloud | Cloud Data | Cloud Data Platforms | Data Architecture | Data Engineering | Data Modeling | Data Quality | Data cloud | Data integration | Data platforms | ELT | ETL | Lakehouse | PySpark | Python | SAP Business | SAP Business Data Cloud | SAP Datasphere | SQL
Education
N/A
Roles
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