Data Engineer
Tasks
- Build and improve event driven data foundations
- Collaborate with marketing and growth teams for activation and personalization
- Ensure data quality consistency and observability across pipelines
- Implement GDPR and PII compliance including consent handling and secure storage
- Improve data architecture and data engineering best practices
- Ingest validate and define canonical domain events
- Model event data in warehouse to support analytics and growth metrics
Perks/Benefits
- Hybrid work environment
- Leadership program
- Pension contributions
- Professional development
- Work-life balance
Skills/Tech-stack
Braze | Data Modeling | Data Observability | Data Pipelines | Data Quality | Data Reliability | Data Warehousing | Event Driven | Event-driven architecture | GDPR | JVM | Java | Marketing Technology | PII | Python | SQL | Streaming Data
Education
N/A
Roles
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