Principal Data Engineer (m/w/d)
Hybrid, München, Frankfurt, Berlin, Leipzig, Essen, Nürnberg
R
EUR 60K-80K (estimate) Mid-level Full Time
Tasks
- Automate model outputs for production use
- Build data pipelines
- Conception and build big data analytics and AI platforms
- Consult on technology stack selection
- Develop data engineering expertise through training and internal projects
- Implement data models
- Lead engineering projects
- Manage developer team and project outcomes
- Operationalize statistical and AI models
Perks/Benefits
- Bike leasing
- Coaching
- Corporate benefits
- Corporate pension scheme
- EGYM Well Pass
- Fitness and yoga facilities
- Flexible working hours
- Germany Ticket subsidy
- Kita support
- Meditation
- Mental health support
- Onboarding
- Private health and wellbeing support
- Remote work
- Work-life balance
- Workation
- Workshops and training
Skills/Tech-stack
AWS CDK | Alerting | Amazon SageMaker | Amazon Web Services | Apache Kafka | Apache Spark | Azure Synapse | Big Data | CI/CD | Cloud platform | Data Modeling | Data Quality | Databricks | ELT | ETL | Git | Google Cloud | Google Cloud Platform | Infrastructure as Code | Microsoft Azure | Monitoring | Networking | Object storage | Python | SQL | Scala | Scheduling | Security | Snowflake | Terraform | Unix | Web Services | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Data Engineer | Engineer | Principal | Principal Data Engineer
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