Вакансии: Данные — Израиль

Join an autonomous data-platform company as a hands-on data engineering partner for enterprise customers. Lead discovery, implementation, proofs of concept, and adoption while translating customer needs into scalable product capabilities and roadmap input.

A financial organization is seeking a mid-level Data Engineer to build reliable data solutions across complex on-premises and cloud environments. The role covers requirements analysis, development, optimization, and ownership through production.

Lead hands-on data science and AI automation for a portfolio of live mobile games. Own predictive models and agent workflows that guide player-value, retention, monetization, and growth decisions.

Lead the design, implementation, and operation of reliable production data pipelines for analytics and machine learning. This hands-on role uses Python, SQL, workflow orchestration, cloud infrastructure, Docker, and Kubernetes, with a focus on resilient and cost-efficient data processing.

Lead a multidisciplinary data team building statistical and machine learning solutions for a digital intelligence platform. Own technical direction, team development, and collaboration across data, product, and R&D functions.

Lead the architecture and implementation of an enterprise data warehouse in AWS. Design scalable data infrastructure for large-scale processing, business intelligence, and AI initiatives while guiding a data engineering team.

Lead the analytics function for a growing B2B software company. Own company-wide metrics, data models, semantic standards, dashboards and analytics processes that support data-driven decisions.

Join a cybersecurity AI team developing production systems that use large language models, unstructured data, and advanced machine learning to improve security operations.

Build and optimize large-scale data pipelines for data warehouse and AI projects across cloud and on-premise environments. The role partners closely with data scientists and development teams.

Own business intelligence strategy and reporting for a global go-to-market organization. Build trusted data infrastructure, revenue metrics, dashboards, and analyses that support Sales, Marketing, Partnerships, Customer Success, and executive decision-making.