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Designs and optimizes Azure Lakehouse data pipelines for AI projects, ensuring data quality and preparing datasets for analytics and AI consumption.
Build and maintain scalable data pipelines and products on AWS to power AI and GenAI solutions, collaborating with data scientists and AI engineers.
Senior Data Engineer building and maintaining Kafka/Spark pipelines for a large bank in Nantes, focusing on data ingestion, transformation, and CI/CD deployment.
Designs, builds, and operates large-scale data pipelines using Iceberg, Spark, DuckDB, and Trino to power reporting and analytics for an HR tech platform.
Design and optimize Azure Lakehouse data pipelines for analytics and AI use cases, ensuring performance, quality, and AI-assisted development practices.
Build ETL/ELT pipelines and data-quality processes to consolidate identity data from HR, IAM, and ITSM systems into a unified Identity Graph.
Designs and maintains scalable data pipelines and models for AI and BI use, working in autonomous squads to ensure data quality and observability.
Build and deploy AI applications using large language models and data pipelines in small teams, occasionally leading projects and advising clients on AI solutions.
Build and maintain high-performance data pipelines in Spark/Java, migrate legacy systems to Databricks, and ensure data quality for downstream analytics.
Builds ETL/ELT pipelines and data models to unify identity and access data, then implements quality controls and an identity graph for consolidated IAM governance.
Build and optimize Azure Lakehouse data pipelines for AI projects using Databricks, ensuring high-quality datasets and performance.
Build and maintain AI-augmented data pipelines and scalable data products, modeling data for analytics, BI, and self-service use cases in a cloud environment.
Administer and optimize the Dataiku platform, support data scientists, and coordinate with vendors and stakeholders while ensuring MLOps and DevSecOps best practices.
Design and build scalable data pipelines and GenAI platforms on AWS, using Spark and modern data architecture to support analytics, AI, and Generative AI use cases.
Build and scale a modern data platform for a healthcare-focused company, designing cloud infrastructure, pipelines, and governance while ensuring HIPAA/GDPR compliance.
Designs and optimizes cloud data pipelines for payment streams, ensuring GDPR compliance and secure data infrastructure to support AI initiatives.
Build and maintain data pipelines, storage systems, and CI/CD workflows for a large banking group, using Python, SQL, Spark, Kafka, and cloud storage.
Designs and maintains scalable ETL/ELT pipelines and cloud data infrastructure to support analytics and ML workflows in a French HR-tech environment.
Senior DevOps engineer builds and maintains CI/CD pipelines, deploys apps with Docker and Kubernetes, and exposes REST APIs via OpenAPI/Swagger.
Designs and automates cloud infrastructure, sets up CI/CD pipelines, and ensures service availability and performance in a DevOps role.
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