- Design and build data pipelines/flows for ML use cases
- Implement data versioning practices
- Deploy and manage flows in orchestration tools
- Improve and maintain CI/CD pipelines
- Manage Python dependencies (Poetry, uv)
- Deploy data scientists' scripts and models from notebooks to production
- Implement data quality checks to ensure pipeline reliability
- Optimize data processing jobs for performance and cost, particularly on distributed systems and cloud data services
📌 Data Engineer (Madrid)
🏢 NielsenIQ
📍 Madrid
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