Вакансии: Data Engineering — Israel

Lead the design and delivery of complex, scalable data solutions while remaining hands-on with cloud technologies and technical execution.

Join a data infrastructure team building scalable pipelines, microservices, APIs, warehouses, orchestration systems, and self-service tooling for internal data teams. The role covers end-to-end ownership from requirements and design through deployment and production support, with regular use of AI##

Own the end-to-end data layer for a security platform processing large volumes of logs, scans, and telemetry. Design scalable schemas, pipelines, aggregations, and data-quality systems with high autonomy in a fast-paced startup environment.

Lead the data infrastructure function for a cybersecurity platform, owning investigation databases, search capabilities, data modeling, performance, reliability, and platform-scale query systems.

Manage and govern core business data across ERP systems, supporting accurate transactions and aligned processes across supply chain, operations, finance, and customer functions.

Lead the technical vision, architecture, and implementation of a data platform spanning data infrastructure, data warehouses, and machine learning platforms. Build scalable systems that support reliable analytics, production machine learning, and self-service access to data.

Lead and mentor data and analytics engineers while remaining hands-on in building and operating a scalable, cloud-native data platform for ingestion, anonymization, enrichment, and analytics.

Join a global data and business intelligence team to develop scalable data pipelines, reliable data products, and AI-powered solutions supporting business operations and decision-making.

Build and operate scalable data infrastructure, pipelines, warehouses, and AI-enabled workflows supporting analytics and data-driven decisions.

Design and build real-time data infrastructure for autonomous airspace management and UAV systems. Own streaming pipelines, lakehouse architecture, data modeling, cloud deployment, and performance optimization for high-throughput mission-critical workloads.