Data Engineer
On-siteTel Aviv, Tel Aviv, Israel
Job Summary
Design and build end-to-end data pipelines, integrating APIs and delivering clean, trusted datasets for analytics and operational workflows. Translate business needs into scalable data solutions by defining source structures, building robust data models, and automating manual workflows. Act as a technical partner to Product, Finance, Operations, and R&D teams, ensuring reliable data across the organization while improving data quality and modernizing existing assets. Write high-quality, maintainable code using modern data tooling and CI/CD principles, leveraging Google Cloud services or equivalent AWS/Azure platforms. Drive continuous improvement in pipeline reliability and data integrity.
Required Qualifications
- B.A / B.Sc. degree in a highly quantitative field
- 4+ years of hands-on experience in data engineering, building data pipelines, writing complex SQL, and structuring data at scale
- Fast learner with high attention to detail, strong ownership, and the ability to manage multiple priorities in a dynamic environment
- Strong communication skills with the ability to partner effectively with both technical and business stakeholders
- Experience with Google Cloud data technologies (BigQuery, Cloud Composer/Airflow, Pub/Sub, Cloud Functions) or equivalent AWS/Azure data services
- Hands-on experience with dbt for data transformation and modeling
- Practical experience using AI tools (e.g., Claude, Cursor, GitHub Copilot, etc.) to improve development workflows and productivity
- Experience building internal data tools, automation workflows, or AI-powered solutions
- High business intuition and analytical mindset, with a strong sense of how to turn raw data into insights and impact
- Fluent English and experience working with global teams
Desired Qualifications
- Experience in designing and building scalable data systems for various data applications
- Background in data-driven companies in large-scale environments
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