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Data Engineer Confirmé Databricks - F/H
Build and maintain scalable ETL/ELT pipelines on Databricks (Spark SQL, PySpark, Scala) to feed reliable, high-performance data for analytics and decision-making.
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.
Data Engineer Databricks — Confirmé (Hybrid, Lyon)
Build and optimize ETL/ELT pipelines on Databricks using Spark SQL, PySpark, and Scala, and set up a Lakehouse with Delta Lake for reliable, secure data delivery.
Data Engineer F/H H/F
Build and maintain robust data pipelines on AWS to centralize and process terabytes of media audience, adserver, CRM, and radio data, using Python, PySpark, and SQL to deliver actionable insights and KPIs for advertising, streaming, and CRM teams.
Data Engineer Confirmé Databricks - F/H
Build and maintain scalable ETL/ELT pipelines on Databricks using Spark SQL, PySpark, and Scala to feed reliable, high-performance data for analytics and decision-making.
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.
Senior Data Engineer - Data Platform & AI (Paris, Hybrid)
Build and optimize scalable data pipelines and lakehouse infrastructure (Spark, Databricks, Snowflake) for a SaaS data-management platform, and help kick-start early AI use cases.
Data Engineer GCP — Pipelines, Cloud & CI/CD (Remote 3 days)
Build and maintain scalable data pipelines on GCP using Python, SQL, Spark, and Delta Lake, collaborating with engineers to support data infrastructure.
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.
Expert Databricks / Lead Data Engineer
Lead Data Engineer designing and maintaining Databricks/Spark pipelines in Python and SQL to migrate and industrialize a new energy-sector data platform, ensuring performance, reliability, and cost control.
Data Engineer H/F - Databricks
Build and maintain scalable data pipelines on Databricks, integrating diverse sources and industrializing ML models for enterprise clients.
Senior Data Engineer – Plateforme Analytics & Data
Senior Data Engineer builds and scales Databricks/AWS pipelines to industrialize analytics and ML prototypes into robust, governed solutions for an energy-sector platform.
Senior Data Engineer (H/F)
Build and maintain scalable data pipelines and cloud infrastructure for an insurtech SaaS platform that helps reinsurers assess risk and underwrite policies using Python, PySpark, SQL, and Airflow.
Senior Data Engineer, AI
Build and optimize Azure Lakehouse data pipelines for AI projects using Databricks, ensuring high-quality datasets and performance.
Data Engineer (F/H)
Design and build scalable data pipelines and cloud-based data platforms for clients, using tools like Terraform, Spark, Kafka, and Snowflake.
Data Engineer & Data Architect - Senior Consultant
Design and build scalable cloud data architectures (Snowflake, GCP/AWS/Azure) and robust ETL pipelines, then expose clean, governed data to analytics and AI teams using dbt and modern data-stack patterns.
Data Engineer (21) - CDI
Build and maintain scalable data pipelines and cloud infrastructure for a media company’s data platform using Python, Spark, SQL, GCP, Airflow, and Terraform.
Senior Data Engineer
Design and build scalable data pipelines using Apache Spark, Scala/Java, and AWS to power global B2B data products with real-time and batch processing.
Data Engineer GCP
Build and maintain scalable data pipelines and cloud infrastructure on GCP, using Python, SQL, Spark, and Terraform to support analytics and AI solutions.