Empleos de Ingeniería de datos

A financial organization in Lod is hiring a systems analyst and ETL developer to design reporting solutions, develop data processes, and guide requirements through implementation and testing.

Lead a team building data infrastructure and optimization systems that turn market predictions into pricing recommendations. Combine hands-on technical work with architecture ownership and people management.

Lead data engineering and data science efforts, combining hands-on technical leadership with team management. Build and scale the infrastructure and pipelines that support real-time pricing and machine learning products.

Join a data team working across data engineering, databases, production operations, and data science and machine learning initiatives. This is a hybrid, full-time role in Hod Hasharon, Israel, with participation in an on-call rotation after onboarding.

Build and scale real-time data processing systems for high-volume telemetry, focusing on stream processing, distributed systems, and low-latency performance.

Own the technical direction of data pipelines that process billions of web events. Lead design and planning, partner with product and engineering teams, and build reliable systems with strong freshness and accuracy.

Build production data and machine-learning pipelines that classify, normalize, structure, and match product data across a catalog of more than a billion records. Work with LLMs and other ML methods, scale solutions on cloud infrastructure, and collaborate with Product and R&D teams.

Design and build data models and pipelines that turn raw data into reliable, documented datasets for analytics and company decision-making. Work with analysts, actuaries, product, and engineering teams, and help develop data foundations for self-serve analytics and AI tools.

Build and operate data infrastructure, reporting tools, and internal applications that support business operations and decision-making. Work with business stakeholders, the executive team, and development teams to deliver solutions from concept through production.

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.