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Junior Data Engineer: Azure Data Factory & Fabric (Remote)
Build and maintain data pipelines using Microsoft Fabric and Azure Data Factory, integrating data from multiple sources for analytics and reporting.
Senior Data Engineering Manager - T&T
Lead a team to design and maintain scalable Azure-based data pipelines and models that feed McCormick’s AI systems, using Databricks, Synapse, and PySpark.
Data Engineer - Microsoft Fabric @ Angry Nerds
Builds and optimizes cloud-based data pipelines using Microsoft Fabric, Azure Synapse, PySpark, and SQL to process diverse datasets for analytics and reporting.
Senior Data Engineer – Azure Data Fabric & Synapse | Remote
Senior Data Engineer builds and maintains Azure-based data pipelines using Microsoft Fabric, Synapse Analytics, and Azure Data Factory to transform raw data into usable assets.
Data Engineer: Microsoft Fabric & Azure Data Platform
Designs and builds enterprise data pipelines on Azure using Microsoft Fabric, Data Lake, and Databricks to power analytics and reporting.
Senior Data Engineer: Microsoft Fabric on Azure
Design and build modern data platforms on Microsoft Fabric and Azure, integrating enterprise data sources and enabling advanced analytics for enterprise clients.
Senior Fabric/Data Engineer — Modern Data & Analytics
Builds and maintains data pipelines, warehouses, and analytics in Microsoft Fabric and SAS 9.4/Viya for a cloud-based data transformation program.
Azure Data Engineer with Databricks (AI&Data)
Build and maintain scalable Azure data pipelines and lakehouse solutions using Databricks, PySpark, and Azure Data Factory to process and transform large datasets for enterprise clients.
Azure Data Engineer with Databricks (AI&Data)
Build and maintain scalable Azure data pipelines and Databricks lakehouse solutions, transforming raw data into analytics-ready assets while collaborating with cross-functional teams.
Data Engineer (Azure Data Platform) + Informatica
Designs and migrates enterprise data pipelines using Informatica and Microsoft Azure tools, blending ETL/ELT with cloud analytics and AI services.
Data Engineer (Azure Data Platform) + Informatica
Design and build ETL/ELT pipelines using Informatica and Microsoft Azure tools, migrating enterprise data to cloud-based Microsoft Fabric and integrating AI services like Azure OpenAI.
Data Engineer — Azure & Fabric Data Platform
Builds and maintains Azure-based data pipelines using Microsoft Fabric, Data Lake, and Databricks to transform raw data into insights across finance, manufacturing, and sales.
Data Engineer – Azure Data Platform @ Antal
Design and maintain Azure-based ETL/ELT pipelines using Data Factory and Microsoft Fabric, build secure data models in Power BI, and support analytics for banking clients.
Senior Fabric/Data Engineer | SB
Build and migrate enterprise data platforms to Microsoft Fabric, designing cloud-based analytics, pipelines, and governance for large-scale transformations.
Regular Data Engineer | Inetum
Build and maintain scalable data platforms using Microsoft Fabric, Azure, and PySpark to turn enterprise data into actionable insights across finance, sales, and operations.
Junior People Data Engineer
Build and maintain HR data pipelines in Microsoft Fabric, transforming raw HR data into clean, analytics-ready datasets using SQL, Python, and PySpark.
Regular Data Engineer | Inetum
Build and maintain scalable data pipelines on Azure using Microsoft Fabric, Databricks, and ETL/ELT tools to support analytics and reporting across finance, sales, and operations.
Senior Data Engineer: Spark, Lakehouse & AI Pipelines
Builds and optimizes scalable ETL pipelines using Spark, Delta Lake, and Azure Databricks to feed AI/ML models and analytics for a global gambling platform.
Data Engineer (Microsoft Fabric)
Build scalable data pipelines and analytics platforms using Microsoft Fabric, Azure, and PySpark to transform enterprise data into actionable insights across finance, sales, and operations.
Senior Databricks Data Engineer
Senior Data Engineer builds and optimizes Databricks lakehouse pipelines in PySpark/Delta Lake, manages Unity Catalog access, and tunes Spark for real-time and batch workloads.