Вакансии: Data Engineering

Own and build a data platform from ingestion to reporting. Design scalable ETL/ELT pipelines, maintain near real-time data layers, and deliver business dashboards. Work with modern data stack including dbt, Airflow, Snowflake, and BI tools. Apply AI tooling. Hybrid role in Tel Aviv.

Lead design and architecture of cloud-based data solutions, build production-grade data pipelines, ensure data governance and compliance, and integrate with edge computing and AI models for smart infrastructure.

Work on a small, independent team building a unified AV dataset used to train and evaluate next-generation perception models. Focus on the curation and ML side of the data pipeline, including vision-model embeddings, scene detection, VLM-based analysis, scoring, deduplication, and sampling. Run and optimize GPU inference at scale, develop scoring strategies, and build validation tools to ensure dataset quality.

Architect and own end-to-end web-scale data ingestion pipelines, combining resilient scraping, distributed systems, and AI coding assistants to turn massive unstructured web data into actionable insights. Hybrid role in Tel Aviv.

Hands-on team lead responsible for designing and scaling data platform and pipelines. Leads small team while remaining technical, owning delivery and architecture. Requires strong SQL, Python, AWS data services experience.

High-ownership role architecting scalable data pipelines, warehouse, and event systems to power AI features, analytics, and experimentation for commerce platform.

Join a fast-growing startup transforming infrastructure monitoring with optical fibers and AI. Build scalable data pipelines, optimize storage, and collaborate with cross-functional teams to enable real-time analytics and AI model training.

Lead and mentor a team of data infrastructure engineers. Define and execute the technical roadmap for data platforms, ensuring scalability, reliability, and high availability. Oversee architecture and pipeline development. Partner with cross-functional teams to support analytics and machine learning initiatives. Drive operational excellence through monitoring, automation, and incident management.

This role involves building data and AI solutions to enhance engineering productivity. You will develop automated workflows, agentic AI systems, and data infrastructure, collaborating with cross-functional teams to drive measurable improvements.

Design, build, and maintain scalable ETL/ELT pipelines. Leverage Databricks and modern data platforms to manage and process data. Collaborate with cross-functional teams to ensure data solutions meet business requirements. Optimize data processing workflows for performance and scalability. Hybrid role.