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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.
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.
Data Engineer - Microsoft BI & Cloud, Remote
Designs and maintains scalable data pipelines using Microsoft BI tools (MSBI, SSIS) and SQL Server, and builds solutions on Microsoft Fabric for analytics platforms.
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 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.
Senior Azure Data Engineer: Modern Data Platform & Power BI
Design and deploy high-performance data analytics solutions using Azure and Microsoft Fabric, building ETL pipelines and data models while collaborating with cross-functional teams.
Tech Lead Data Engineer / Architecte (F/H)
Leads the migration of an on-premise data warehouse to the cloud, auditing existing systems, designing scalable cloud architectures, and guiding teams through implementation and documentation.
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.
Senior Data Engineer - Microsoft Fabric & Lakehouse
Design and build Microsoft Fabric lakehouse architectures, ingest multi-source data, and orchestrate pipelines for a 6-person data team.
Senior Azure Data Engineer: Modern Data Platform & BI
Design and deploy modern data analytics solutions on Microsoft Azure and Fabric, building ETL pipelines and optimizing data models for BI insights.
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.
Senior Data Engineer – Azure & Fabric Expert
Build and optimize data pipelines using Microsoft Azure and Fabric to power analytics and reporting workflows.
Data Engineer - Microsoft Fabric / Databricks (Hybrid)
Build and optimize data pipelines using SQL, Spark, and cloud platforms like Microsoft Fabric, Databricks, and Azure for clients, while delivering BI solutions with Power BI.
Senior Data Engineer - Azure & Fabric Specialist
Senior Data Engineer designing Azure and Microsoft Fabric pipelines, ETL workflows, and BI solutions for enterprise clients, with a focus on data modeling, optimization, and cross-team collaboration.
Senior Azure Data Engineer — Cloud Data Platform Lead
Design and build robust cloud data architectures on Microsoft Fabric and Azure for enterprise clients, from ingestion to production, using Data Vault 2.0, Azure Data Factory, Synapse, and Data Lake.
Data Engineer Microsoft Senior H/F
Senior Data Engineer designs and implements Microsoft Fabric and Azure-based data solutions, integrating ETL pipelines, BI, and AI for enterprise clients while collaborating with cross-functional teams.
Data Engineer Confirmé – Azure & Microsoft Fabric
Build and maintain a unified data platform on Azure and Microsoft Fabric, designing robust data pipelines and BI solutions using Azure Data Factory and SQL.
Data engineer Senior Microsoft H/F
Senior data engineer designing and building Microsoft Fabric-based analytics pipelines for clients, using Azure Data Factory, SQL, and cloud architectures to deliver BI, Big Data, and AI solutions.
Azure / Fabric Data Engineer (Microsoft)
Designs and builds scalable Azure and Microsoft Fabric data pipelines using Python, SQL, and Spark, ensuring data quality and governance for analytics and AI workloads.