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Generative AI & Data Engineer - Scale & Observability
Builds and optimizes generative AI solutions using Python and GCP AI services, integrating them into production systems.
Data Engineer orienté IA Générative – CDI
Build and maintain data pipelines, integrate LLM APIs, and implement RAG workflows for a loyalty and engagement platform using Python, SQL, and Talend.
Tech Lead Data Engineer / Cloud Architecte
Leads the design and rollout of a secure, governed data and AI platform for a major media/public-sector client, integrating GCP/AWS, Kubernetes, Kafka, and Collibra with strict data-security and DevOps practices.
Senior Data Engineer (F/H) - Rennes
Build robust data pipelines and cloud-native platforms using Python, SQL, dbt, Airflow, BigQuery, Snowflake, and Databricks, while integrating AI/ML workflows and RAG systems.
Senior Data Engineer (F/H) - Nantes
Designs and builds cloud-native data pipelines and platforms using Python, SQL, dbt, Airflow, and GCP, integrating AI/ML workflows and real-time analytics.
Industrial AI Engineer | MLOps, Data Pipelines, IA
Industrialize AI models and data pipelines for a large bank’s AI Center of Excellence, implementing MLOps, LLMOps, and CI/CD while ensuring security and observability.
Data Engineer senior – Databricks (H/F)
Design and maintain scalable data pipelines on Databricks using Spark, Python, Scala, and SQL to collect, store, and process large volumes of data for analytics and AI workloads.
Data Engineer Expérimenté – Hybrid, MLOps & GenAI
Designs and maintains scalable data pipelines in Python, SQL, dbt, and Airflow, ensuring data quality and governance across BigQuery, Snowflake, and Databricks to support AI-driven workflows.
Data Engineer Modern Data Stack F/H
Build and maintain cloud-based data pipelines in Python and SQL, design modern data platforms (Data Lake, Warehouse), and ensure data quality and observability for analytics and AI projects.
Data Engineer Google Cloud Platform
Design and build scalable GCP data pipelines and deploy agentic AI systems using Vertex AI, LangChain, and RAG for enterprise clients.
MLOps & Data Engineer: Scale Banking Data (Hybrid)
Build and scale ML pipelines for banking data at a major European bank, industrializing models for 24M customers in a hybrid Agile team.
ML/Data Engineer H/F
Build and deploy ML models for supply-chain forecasting using AWS EKS and MLOps pipelines; design robust data pipelines and monitor production systems.
MLOps & Data Engineer - Python & Cloud
Build and maintain MLOps pipelines and integrate ML models into products using Python and cloud platforms like AWS and GCP.
Data Engineer Databricks - H/F
Build and optimize Databricks Lakehouse platforms for large-scale analytics and AI use cases, designing Medallion architectures, PySpark pipelines, and Delta Lake governance.
Data Engineer Modern Data Stack F/H
Build and maintain cloud-based data pipelines in Python/SQL, design modern data platforms (Azure/AWS/GCP), and ensure data quality and observability for analytics and AI projects.
ML Ops Data Engineer — Build & Scale AI Pipelines
Build and scale AI pipelines to support data science teams, focusing on robust and optimized MLOps environments using Python and DevOps practices.
Senior Data Engineer - AI Solutions
Designs and builds data pipelines and processing systems to power AI solutions for energy optimization and industrial automation using Python, Spark, and cloud platforms.
DATA ENGINEER - CDI - (H/F)
Build and maintain CNP Assurances’ data infrastructure, enriching the Datalake and collaborating with Data Scientists to deliver innovative use cases using AWS, Python, Spark, and Snowflake.
Data Engineer AWS H/F
Build and maintain scalable data pipelines on AWS to power internal analytics and client-facing APIs, using Python, Airflow, Kafka, and Terraform.
Data Engineer Senior H/F
Design scalable data architectures and MLOps pipelines, industrialize ML models, and ensure data quality for enterprise AI projects in cloud environments.