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Data Engineer confirmé - expert PySpark - Services Financiers - Nantes
Build and maintain financial-data pipelines using PySpark, Kafka, and cloud tools; design ingestion, governance, and BI layers for Sopra Steria clients.
Data Engineer Databricks - Python (Clermont-Ferrand) (H/F)
Build and maintain data pipelines in Python and Databricks, ensuring reliable, high-performance data processing and transformation for clients.
Data & AI Engineer
Build and deploy data pipelines, cloud data platforms, and ML systems for clients using Databricks, Spark, AWS, and MLOps tooling.
267 - Data Engineer / Architecte Databricks (H/F) (IT) / Freelance
Build and maintain scalable Databricks pipelines using PySpark and Delta Lake, administer workspaces, enforce data quality, and collaborate with analysts and scientists.
Big Data Engineer - Services Financiers - Ile de France
Build and maintain scalable data pipelines and analytics solutions for a financial-services client using Spark, Kafka, and cloud platforms like Azure HD Insight.
Remote Spark Big Data Engineer for AI Training
Design and optimize Spark-based AI training pipelines using Scala, PySpark, and Spark SQL for scalable data processing and efficient joins.
DATA ENGINEER AND BUSINESS TOOL DEVELOPER F/H
Build and maintain data pipelines in Azure Databricks with PySpark/SQL, then create and deliver Power BI dashboards to help teams make data-driven decisions.
Data Platform Engineer — AWS, Lakehouse & Pipelines
Build and maintain a modern AWS-based data lakehouse and ETL pipelines for a large bank using PySpark, Java, and cloud-native tooling.
Data Engineer Confirmé Azure / Microsoft Fabric - F/H
Build and maintain scalable data pipelines on Azure and Microsoft Fabric, from ingestion to analytics, using Azure Data Factory, Synapse, and Fabric components.
Data Engineer Senior - Expert Dataiku - CDI - H/F
Senior Data Engineer role using Dataiku to design data pipelines, build visualizations, and advise clients on AI/ML solutions with Python, Spark, and cloud platforms.
Data Engineer Senior - Expert Dataiku - CDI - H/F
Build and optimize data pipelines, analyze business needs, and deliver visualizations using Dataiku, Python, and Spark to drive AI-driven solutions for clients in finance, healthcare, mobility, and climate sectors.
Snowflake Data Engineer – Banking & Finance, Remote Ready
Builds and maintains Snowflake-based data pipelines for banking clients, ensuring data quality and reliability using Python, PySpark, SQL and CI/CD.
Data engineer GCP - Secteur Retail (H/F)
Designs and maintains scalable GCP data pipelines (BigQuery, Dataflow, Dataproc) for retail clients, automating data flows and optimizing analytics infrastructure.
Data Engineer - Python/PySpark | Projets variés & Formation
Build and maintain data pipelines for a media company using Python and PySpark, with autonomy and mentorship.
Data Engineer PySpark - Data Factory - Services Financiers - Ile de France
Build and maintain scalable data pipelines in a Cloud-based Data Factory, using PySpark, Kafka, and CI/CD to ingest, transform, and expose financial data for business users.
Senior Data Engineer - Azure & Fabric (Hybrid, Lyon)
Build and maintain a unified data platform on Azure and Microsoft Fabric, designing end-to-end ETL/ELT pipelines and analytics workflows.
Senior Databricks Data Engineer - PySpark & Cloud
Build and maintain robust data pipelines on Databricks using PySpark and Spark SQL, gathering requirements, designing schemas, and ensuring data/code quality through testing and reviews.
Senior Data engineer Databricks H/F
Build and maintain scalable data pipelines and infrastructure for a major retail client using Databricks, PySpark, and Airflow, while modernizing legacy systems and ensuring data quality.
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.
Consultant Data Engineer Nantes F/H/X
Build and optimize custom data architectures, pipelines, and visualizations for clients, primarily using Python, PySpark, and cloud/GCP, with Java as a bonus.