(Senior) Data Platform Engineer (m/f/d)
Germany, Munich, Germany, Berlin, France, Paris
EUR 45K-67K (estimate) Mid-level Full Time
Tasks
- Build CI/CD pipelines
- Build governed semantic layer
- Build ingestion pipelines
- Build transformation pipelines
- Define data contracts
- Design scalable data models
- Implement ABAC
- Implement PII masking
- Implement PII pseudonymization
- Implement PII tokenization
- Implement RBAC
- Implement audit logging
- Implement automated testing
- Implement encryption for PII
- Improve observability
- Maintain column level lineage
- Maintain data catalog standards
- Manage GDPR workflows
- Mentor data engineering team
- Monitor pipeline costs
- Orchestrate data workflows
- Support AI powered analytics
- Support ISO 27001 audits
- Support SOC 2 audits
- Support self-service BI
- Use infrastructure as code
Perks/Benefits
- 30 days vacation
- Bike leasing
- Discounts
- Flex budget for expenses
- Flexible working hours
- Hybrid work
- Meal subsidy
- Mentoring program
- Public transportation subsidy
- Subsidized pension
- Training benefits
Skills/Tech-stack
ABAC | Airflow | Audit Logging | Automated testing | CI/CD | Cloud platform | DBT | Dagster | Data Catalog | Data Contracts | Data Governance | Dataflow | Encryption | Fivetran | GDPR | Google Cloud | Google Cloud Platform | Google KMS | ISO 27001 | Iceberg | Infrastructure as Code | Kafka | Lineage | Masking | Observability | PII | Parquet | Pseudonymization | PubSub | Python | RBAC | SOC 2 | SQL | Secret Manager | Snowflake | Terraform | Tokenization | “as-code”
Education
N/A
Regions
States
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