Lead Data Platform Engineer (German Speaker)
Tasks
- Adopt AI assisted engineering workflows
- Build streaming pipelines
- Create reporting and analytics workflows
- Define engineering documentation standards
- Design data platform architecture
- Develop data modeling
- Drive CI/CD adoption
- Enhance platform observability
- Ensure data quality assurance
- Implement batch processing
- Implement testing and code review standards
- Lead technical leadership
- Manage incident response
- Manage infrastructure operations
- Manage operational roadmap
- Mentor engineers
- Optimize platform reliability and scalability
- Oversee data ingestion pipelines
- Own data platform strategy
- Set up monitoring and alerting
Perks/Benefits
- Autonomy and ownership
- Collaborative international team
- Continuous learning
- Flexible working arrangements
- Fully remote
- Minimal bureaucracy
- Professional growth
- Technical leadership opportunities
Skills/Tech-stack
AI Coding Assistants | AI coding | Alerting | BigQuery | CI/CD | Cloud Run | Cloud SQL | Cloud Storage | Cloud platform | Coding assistants | DBT | Data Modeling | Dataflow | Docker | Go | Golang | Google Cloud | Google Cloud Platform | Incident Management | Infrastructure as Code | Monitoring | Observability | Protobuf | PubSub | SQL | SQLMesh | Terraform | “as-code”
Education
N/A
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