Data integration and ETL services for enterprises on legacy and cloud systems
Aqurate Data operates as a systems integrator focused on data pipelines, ETL, and analytics modernization across hybrid environments. The tech stack mirrors their service scope: Talend, Informatica, DataStage, and Kafka for integration; Databricks, SQL, and Spark for processing; Tableau, Power BI, and Qlik for analytics. Hiring is concentrated in data roles (mid and senior level), with active projects spanning Salesforce sync, AI implementation, and data catalog buildout—indicating a shift from pure ETL maintenance toward analytics infrastructure and generative AI adoption.
Aqurate Data is a privately held systems integrator based in Israel that designs and implements data solutions for mid-market and enterprise clients. The company specializes in data integration, ETL pipeline development, legacy system modernization, and analytics platform deployment. Their client base spans government, healthcare, insurance, finance, and high-tech sectors. Aqurate operates as an exclusive representative for platforms including Talend, Starburst, ETLworks, Alteryx, and Cumulocity. The service portfolio covers on-premises, cloud (AWS, Azure), and mainframe environments, with current project emphasis on real-time Salesforce data sync, AI solution implementation, and data governance infrastructure.
Aqurate's primary integration stack includes Talend, Informatica (PowerCenter and IICS), DataStage, and Kafka. They also work with Azure Data Factory and are exclusive representatives for ETLworks and Alteryx.
Aqurate provides end-to-end data solutions: integration, replication, ETL development, data quality, legacy modernization, real-time analytics, and AI-driven orchestration. Current active work includes Salesforce pipeline automation, data catalog implementation, and generative AI solution deployment.
Aqurate Data is headquartered in Shoham, Central Israel, and currently hiring only within Israel. Active openings (17 total) are primarily for mid and senior data professionals.
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