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Generative AI & Data Engineer — Build Scalable AI Solutions
Build and scale generative AI systems using Python and MLOps/DevOps practices, collaborating with cross-functional teams to deploy and optimize AI models.
Senior Manager Data Engineer - CDI (H/F)
Leads data-architecture and engineering projects for banks and insurers, building modern data platforms (lakes, warehouses, cloud-native) and scalable pipelines to support analytics and operations.
AI & Data Engineer (Generative AI) H/F
Build and deploy scalable generative-AI systems on GCP, integrating LLM APIs, RAG, and agent workflows while ensuring reliability, cost control, and observability for an industrial group.
Senior Data Engineer R&D H/F
Build end-to-end data pipelines and cloud-native ETL systems for clients, using serverless functions, DevOps, and MLOps to extract, transform, and serve data via data lakes, warehouses, and APIs.
Data Engineer - MLOps Engineer F/H
Build and maintain ML pipelines for banking use-cases, deploy models to production, and monitor performance using Python, Spark, Kubernetes, and AWS SageMaker.
AI & Data Engineer (Generative AI) H/F
Build and deploy scalable generative-AI systems for Air Liquide’s products, focusing on LLM pipelines, RAG, and agent workflows on GCP’s Vertex AI and Agent Space.
Data Engineer / Expert Data Intégration - H/F (H/F)
Designs and builds scalable data pipelines, integrates cloud data warehouses, and embeds AI models for clients in retail, energy, and industry using Snowflake, dbt, Talend, Python, and cloud platforms.
AI & Data Engineer (Machine Learning) H/F
Build and deploy ML models end-to-end: design MLOps pipelines, containerize services, and scale AI systems on cloud platforms like AWS/GCP.
Data Engineer Senior – Full Microsoft Azure & Fabric
Design and build end-to-end data pipelines on Microsoft Azure, using Data Factory, Data Lake, SQL DB and Analysis Services to deliver production-ready analytics and AI platforms.
Senior Data Engineer - Microsoft Fabric & Lakehouse
Design and build Microsoft Fabric lakehouse architectures, ingest multi-source data, and orchestrate pipelines for a 6-person data team.
Lead Data Engineer – Databricks & Azure (Finance)
Lead a team migrating legacy data systems to a modern Databricks/Azure platform, building scalable batch and streaming pipelines, and deploying BI, ML, and GenAI use cases for a large financial client.
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.