Senior Data Engineer - AI Focused

• Ensure high standards of data quality for AI model inputs.
• Design, build, and maintain scalable data pipelines on Google Cloud Platform (GCP) for AI and machine learning use cases.
• Implement data ingestion and transformation frameworks that power Retrieval systems and training datasets for LLMs and multimodal models.
• Architect and manage NoSQL and Vector Databases to store and retrieve embeddings, documents, and model inputs efficiently.
• Collaborate with ML and platform teams to define data schemas, partitioning strategies, and governance rules that ensure privacy, scalability, and reliability.
• Integrate unstructured and structured data sources (text, speech,image, documents, metadata) into unified data models ready for AI consumption.
• Optimize performance and cost of data pipelines using GCP native services (BigQuery, Dataflow, Pub/Sub, Cloud Storage, Vertex AI).
• Contribute to data quality and lineage frameworks, ensuring AI models are trained on validated, auditable, and compliant datasets.
• Continuously evaluate and improve our data stack to accelerate AI experimentation and deployment.

Do you have a Master's degree?, * Master's or Ph.D. degree in Computer Science, Data Engineering, or a related field.

• 5+ years of experience in Data Engineering, ideally supporting AI or ML workloads.
• Strong experience with the GCP data ecosystem
• Proficiency in Python and SQL, with experience in data pipeline orchestration (e.g., Airflow, Dagster, Cloud Composer).
• Deep understanding of NoSQL systems (e.g., MongoDB) and vector databases (e.g., FAISS, Vector Search).
• Experience designing data architectures for RAG, embeddings, or model training pipelines.
• Knowledge of data governance, security, and compliance for sensitive or regulated data.
• Familiarity with W&B / MLflow / Braintrust / DVC for experiment tracking and dataset versioning (extract snapshots, change tracking, reproducibility).
• Familiarity with (Docker, Kubernetes) and CI/CD for data workflows.containerized environments
• A collaborative mindset and passion for building the data foundations of next-generation AI systems.

• Free mental health and coaching services through our partner Moka.care
• For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
• Work from EU countries and the UK for up to 10 days per year, thanks to our flexibility days policy
• Work Council subsidy to refund part of a sport club membership or a creative class
• Up to 14 days of RTT
• Lunch voucher with Swile card