Вакансии: Data Engineering — Israel

Join a global online travel company’s Customer Experience Group to build reliable data foundations, analytics products, dashboards, and internal tools. The role combines data engineering, software development, and business analysis, with opportunities to influence architecture and mentor other team‌

Join a growing workforce management software company and help build an AI-enabled analytics platform. You will develop reliable data infrastructure, scalable modeling layers, automation, and self-service data capabilities while partnering with analysts and business stakeholders.

Hiring a Data Engineer to design and maintain scalable, low-latency data pipelines and big-data infrastructure for high-throughput real-time systems. You will own data modeling, optimization, observability, and collaborate across engineering, security, and data science teams.

High-ownership role building reliable data pipelines and architectures on a leading transportation platform, using modern data stack tools and AWS.

Experienced data engineer focused on building scalable ETL and document processing pipelines for AI and LLM applications. Skilled in Python, OCR, chunking, and retrieval systems to ensure high-quality data for RAG.

Design and deliver production-grade data platforms on AWS, from discovery to production, working directly with startup CTOs and engineering teams in a hybrid role based in Tel Aviv.

Founding Data Architect responsible for data architecture, ETL, data modeling, and governance at scale. Key areas include security engineering, LLM integration, federated learning, and AWS-based systems. On-site in Tel Aviv.

Join a leading financial organization to develop and maintain ETL processes using Informatica PowerCenter and IICS. You will design data pipelines for DWH and Data Lakes, collaborate with BI and analytics teams, and ensure performance and best practices.

Own the data architecture and pipelines powering AI models, merchant analytics, and product decisions. Design scalable systems processing millions of events, set data quality standards, and enable self-service insights. 5+ years experience with modern data stacks, strong TypeScript, and cloud infrastructure.

Anonymized role: Own first-party data, identity graphs, and audience pipelines for a global sports media and technology company.