Вакансии: Data Engineering — Israel

Join a cloud and data services company to design, build, and maintain modern cloud-native data platforms for large enterprise customers in Israel.

Lead the design and operation of enterprise-scale data platforms, pipelines, observability solutions, and security analytics systems for a technology company serving government agencies.

Lead a Data Operations team responsible for reliable, secure, and efficient enterprise data platforms across on-premises and Google Cloud environments.

Join a technology firm building autonomous systems and AI-driven platforms. Design and own real-time data infrastructure, streaming pipelines, and lakehouse solutions for high-scale, mission-critical environments.

Lead a Data Operations team responsible for the stability, reliability, performance, and evolution of enterprise data environments across on-premises and cloud infrastructure. The role combines hands-on operations, production ownership, automation, monitoring, and GCP cloud transformation.

Join a data integration team to design, implement, troubleshoot, and optimize customer data integrations, pipelines, and transformation processes.

Lead the design and development of scalable, secure data infrastructure and pipelines for a healthcare AI company. Own solutions across architecture, implementation, deployment, and maintenance while partnering with research, product, regulatory, and engineering teams. The role follows a hybrid work

Lead data engineers while remaining hands-on in designing scalable data pipelines, cloud infrastructure, deployment environments, and AI-enabled data workflows.

Design, build, and maintain scalable data infrastructure, pipelines, and warehouses for large-scale analysis. Collaborate with data scientists, analytics teams, and business stakeholders. The role is offered on a contractor basis as a private entrepreneur.

Design and build scalable data architectures and reliable pipelines for complex biological, genomic, clinical, and single-cell datasets. Collaborate with data scientists and AI/ML engineers to make data accessible for research and decision-making in a hybrid role based in Ramat Gan.