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Full Stack Developer SSr.
Builds and maintains full-stack web and mobile apps using Node.js, React/Angular/Vue, MySQL, and Docker for US-based clients.
Software Engineer, AI Apps and Cloud Infrastructure
Build and scale cloud infrastructure on GCP to support AI-driven robotics, integrating APIs and data pipelines for autonomous mobile robots in retail and logistics.
Data/AI Engineer Industrialisation & MLOps IA H/F
Build and industrialize AI/ML pipelines for Crédit Agricole’s Group Infrastructure Platform, turning experiments into secure, scalable, and monitored production systems using MLOps, LLMOps, and cloud-native tools.
Data Platform Engineer GCP (F/H)
Build and maintain Carrefour’s GCP-based data platform, automating pipelines for BigQuery, Cloud Storage, and Qlik BI tools to support e-commerce analytics at scale.
Data Engineer - Platform Streaming & Kafka Self-Service H/F - 5 ans expérience
Build and automate a self-service Kafka-based streaming data platform for developers, replacing legacy ETL with event-driven architecture and Kubernetes-native tooling.
Data Engineer - Platform Streaming & Kafka Self-Service H/F - 5 ans expérience
Build and automate a self-service Kafka-based streaming data platform for teams, using Kubernetes, GitOps, and CI/CD to replace legacy ETL and accelerate the Data Platform transition.
Senior Data Analytics Engineer - Azure - /F
Build and maintain modern data platforms on Azure, designing data pipelines, warehouses, and CI/CD workflows while advising clients on tech choices and best practices.
Databricks Tech Lead: Data Pipelines & AI Architect
Lead a team to design, build, and optimize Databricks-based data pipelines and AI architectures for enterprise clients, ensuring scalable data ingestion, processing, and visualization while mentoring engineers.
Data Analytics Engineer - H/F
Design and build modern data pipelines and analytics platforms using Azure services like Data Factory, Synapse, and Datalake to integrate and model enterprise data for real-time insights.
Data Analytics Engineer - H/F
Build and maintain modern data platforms, design data integration flows, and optimize pipelines using Azure services for real-time analytics and reporting.
307 - Data Engineer / DevOps GCP Senior (IT) / Freelance
Build and maintain GCP-based data and AI pipelines, automate CI/CD with Terraform and GitLab, and ensure secure, scalable cloud operations.
Consultant Senior Azure Data Engineer - H/F (CDI)
Design and deploy high-performance data analytics solutions using Azure and Microsoft Fabric, including ETL pipelines, data lakes, and Power BI reports for enterprise clients.
Data Engineer dbt (confirmé/sénior) - H/F - CDI
Build and maintain modern data pipelines using dbt, Snowflake, and CI/CD to create scalable analytics platforms for enterprise clients.
Data Engineer Python / Spark / GCP F/H/X
Build and maintain scalable data pipelines and infrastructure for a media company using Python, Spark, BigQuery, and GCP.
Data Engineer – Real-Time Streaming (Kafka/Java/Scala)
Builds real-time data pipelines using Kafka/PubSub, Java/Scala services with Spring Boot, and Airflow orchestration on Kubernetes.
Data Engineer Databricks / AWS / Spark (H/F) - Paris
Build and maintain data platforms using Python, Databricks, Spark, and cloud services (AWS/Azure), designing robust pipelines and scalable cloud architectures for critical infrastructure.
Data Analytics Engineer
Build and maintain BI dashboards in Power BI, model data pipelines with dbt, and translate business needs into analytics solutions for an industrial client.
Data analytics engineer
Build and optimize cloud-based data pipelines and platforms for clients using GCP/AWS/Azure, focusing on BigQuery, dbt/Dataform, and FinOps.
Data Engineer Streaming (Java / Kafka Stream / Spark) H/F
Build and maintain real-time data streaming pipelines using Java, Kafka Streams, and Spark, while designing event-driven architectures and robust APIs for large-scale data processing.
Senior Data Engineer - IoT & Real-Time on AWS
Design and maintain high-volume IoT data pipelines on AWS, combining real-time and batch processing with Spark/Flink, and expose analytics-ready APIs in Python.