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Tech Lead Data Engineer Snowflake – Kwanzeo Paris & France
Leads Snowflake-based data-cloud projects for clients, designing scalable architectures, optimizing costs, and mentoring teams while integrating with Azure and Microsoft tooling.
Consultant 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 dashboards.
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.
Senior Data Engineer — Hybrid, AI & Cloud Solutions
Designs and builds scalable ETL/ELT pipelines and cloud data architectures to transform client data into actionable insights, ensuring quality and security from ingestion to warehouse/lake.
Data Engineer Senior Databricks / IA (H/F)
Senior Data Engineer designs data architectures and Databricks pipelines for a major retail company, builds ML/AI agents, and supports Power BI analytics.
Consultant Data Engineer – Microsoft Fabric (H/F)
Design and build cloud data pipelines and models using Microsoft Fabric and Azure services for enterprise clients.
Tech Lead Data Engineer GCP H/F
Lead a team building scalable GCP data pipelines and cloud data warehouses for enterprise clients, using BigQuery, Dataflow, and DevOps practices to enable data-driven decisions.
Senior Cloud Data Engineer — Remote 2x/Week + Equity
Build and optimize cloud data pipelines for clients using Spark, Kafka, and cloud platforms like Databricks or Azure, ensuring scalable, real-time data solutions.
Data Engineer GCP – DBT (H/F)
Build and maintain scalable ETL/ELT pipelines on Google Cloud Platform using BigQuery, DBT, and Airflow to deliver clean, documented datasets for analytics and marketing teams.
Data Engineer GCP F/H-FR871630
Build and maintain scalable ETL/ELT pipelines on GCP to feed a modern data platform, enabling analytics and dashboards for an e-commerce and natural-cosmetics retailer.
Data Engineer Cloud Confirmé / Senior (F/H)
Senior Data Engineer builds and optimizes cloud-based data pipelines and warehouses using Spark, Kafka, and cloud platforms (Databricks, Snowflake, Azure) to enable real-time analytics and reporting for enterprise clients.
Data Engineer GCP – Construisez une Data Platform Moderne
Build and maintain modern GCP-based data pipelines and warehouses for a fast-growing natural-cosmetics e-commerce company.
Data Engineer Cloud Confirmé / Senior (F/H)
Build and optimize cloud-based data pipelines for clients in finance, healthcare, logistics, mobility, and climate sectors using Spark, Kafka, and cloud platforms like Azure/GCP.
Data Engineer (Cloud Azure) - Confirmé F/H
Build and maintain scalable Azure data pipelines using Azure Data Factory, Synapse, Databricks, and Fabric to transform raw data into actionable insights for BI and analytics teams.
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.
Data Engineer Databricks & DBT (H/F)
Builds and maintains scalable data pipelines using Databricks, dbt, PySpark and SQL to feed a modern data platform for analytics and reporting.
Data Engineer AWS – Data Platform / IA (H/F)
Build and maintain AWS-based data pipelines and lakehouse architecture for a large bank’s AI and ESG initiatives, using PySpark, Java, and CI/CD.
Senior Cloud Data Engineer - Azure & GCP
Design and lead modern, scalable data platforms on Azure and GCP, build robust pipelines with Spark/Databricks/Dataflow, and mentor teams while optimizing costs and governance.
Data Engineer – Secteur Finance (H/F)
Builds and maintains robust data pipelines for financial institutions, collecting and transforming data for analytics and regulatory compliance using Python, SQL, and cloud platforms.
Lead Data Engineer DBT - (F/H)
Lead a team to build, optimize, and maintain modern data pipelines using DBT and SQL, ensuring reliable, scalable data infrastructure for enterprise clients in finance, healthcare, mobility, and climate sectors.