Data AI Engineer, Dailymotion

• Professional English proficiency is required (written and spoken)
• Solid experience building production data pipelines and data models (ETL/ELT concepts, orchestration, reliability, and data quality)
• Strong SQL skills and practical knowledge of warehouse/lake patterns and debugging data issues
• Proficiency in Golang and/or Python for data processing and pipeline development (depending on your internal standards)
• Understanding of AI/data needs: reproducibility, dataset versioning, evaluation data management, and secure handling of sensitive data
• Ability to deliver well-tested, well-documented work (CI for data jobs, unit/integration tests for transforms)

Desirable

• In this role, you’ll work at the intersection of data engineering, ML/LLM product needs, and platform reliability, partnering closely with AI/ML engineers, product engineers, and analytics stakeholders.
• You’ll help ensure that the data powering training, retrieval (RAG), evaluation, and monitoring is curated, traceable, and secure—so teams can ship AI features with confidence
• Build and maintain reliable data pipelines (batch and/or streaming) that power AI features, evaluation, and analytics use cases
• Develop curated datasets and feature tables for training and evaluation; implement validation checks, lineage, and clear ownership
• Support knowledge ingestion for RAG: document processing, chunking, metadata enrichment, indexing/backfills, and freshness monitoring
• Implement and operate evaluation data workflows: golden sets, labeling support, drift checks, regression reporting, and dataset versioning
• Collaborate with AI/ML and product engineers to translate requirements into scalable data models and pipelines
• Improve pipeline performance and cost efficiency through incremental processing, partitioning, and resource tuning on GCP
• Contribute to operational excellence: monitoring, alerting, troubleshooting, and