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Middle Data Engineer (Azure Databricks)
Designs and builds cloud data pipelines using Azure Databricks, PySpark, and Delta Lake to power analytics and BI, integrating with SQL Server and Azure Data Factory.
Senior Data Engineer (MS Fabric)
Builds and maintains Azure-based data pipelines using Microsoft Fabric, SQL, and Delta Lake to deliver clean, structured datasets for analytics and reporting.
Senior Azure Data Engineer-hybrid
Build and maintain scalable data pipelines on Azure using Databricks, ADF, and PySpark to process and transform enterprise datasets.
Data Engineer (Azure & Databricks)
Builds and maintains enterprise-scale data pipelines and analytics infrastructure using Azure and Databricks for a client team.
Data Engineer (Azure Data Platform)
Build and maintain Azure-based data pipelines and analytics solutions using Microsoft Fabric, Azure Data Lake, and Azure Data Factory.
Data Engineer
Design and maintain Azure-based data pipelines and ETL workflows to optimize business processes and support data-driven decisions.
Azure Databricks Data Engineer — Lakehouse & Pipelines
Designs and builds Azure Databricks-based data pipelines and Lakehouse architectures using PySpark and SQL to transform and integrate data for scalable cloud analytics.
Data Engineering Analyst: Build End-to-End Data Pipelines
Build and optimize end-to-end data pipelines using SQL, Python, and cloud platforms like Azure Data Factory and Databricks.
Senior Data Engineer (m/f/d)
Designs and builds scalable data pipelines and warehouses for healthcare analytics, integrating SAP, Salesforce, and cloud sources using Python, SQL, and Snowflake/Databricks.
Data Engineer
Build and maintain scalable data pipelines and models for clients using cloud platforms like Snowflake and Azure, orchestrated with Apache Airflow.
Data Engineer
Builds and maintains data pipelines on Azure and Microsoft Fabric, ingesting and processing batch/streaming data with Databricks/Spark and Azure Data Factory.
Data Platform Support Engineer: Path to Data Engineering
Support and monitor enterprise data platforms like Snowflake and Azure Data Factory, troubleshoot incidents, and collaborate with engineers to resolve issues while growing into a Data Engineering role.
FS Technology Consulting - AI and Data - Data Engineer - Senior Consultant - Dublin
Senior Data Engineer builds and optimizes cloud-based data pipelines for financial services clients using Azure, SQL, and ETL tools to enable analytics and reporting.
Data Engineer, Microsoft Data Platform
Build and maintain Microsoft-centric data pipelines and lakehouse/warehouse architectures to support governed enterprise analytics and operational reporting.
Senior Data Engineer – FinServ (Hybrid)
Designs and builds scalable Azure data pipelines for financial-services clients, ensuring governance and GDPR compliance while enabling analytics and reporting.
Fabric Data Architect
Design and implement Microsoft Fabric-based data platforms, AI analytics, and automation pipelines for enterprise clients, using Azure services and Power BI.
Data Engineer - Graph Databases
Builds and maintains ETL/ELT pipelines and graph databases for telecom and financial clients, using Python, SQL, and cloud tools like BigQuery or Azure Synapse.
Data Engineer
Build and maintain scalable data pipelines and cloud-based analytics platforms using Azure, PySpark, and Power BI to power MetLife’s global insurance and financial services.
Data Engineer Senior Consultant FS Consulting
Senior Data Engineer builds and optimizes cloud data pipelines for financial clients, using SQL, Azure/Snowflake/Databricks to turn raw data into analytics-ready formats.
Data Engineer
Designs and maintains scalable data pipelines and warehouses using SQL, Python, and cloud platforms (AWS/Azure/GCP) to support business analytics and data-driven decisions.