🔹 Title: Senior Data Engineer

📍 Location (Hybrid): Tel Aviv - Israel

💼 Position Type: Individual Contributor

🌟 Opportunity Highlights

We're looking for a Senior Data Engineer to help expand our cloud team's capabilities. Our team owns the central cloud services for the entire company, including a unique content management infrastructure that forms the core of our product. As a senior data engineer, you will work with cutting-edge technologies, designing and implementing advanced SaaS solutions and large-scale data processes. We seek someone who is self-driven, motivated, independent, and a strong team player.

👋 Who We Are

SafeBreach is the leader in enterprise-grade exposure validation, providing the world’s largest brands with safe and scalable capabilities to understand, measure and remediate threat exposure and associated cyber risk. The award-winning SafeBreach exposure validation platform combines pioneering breach and attack simulation and innovative attack path validation capabilities to help enterprise security teams measure and address security gaps at the perimeter and beyond. Backed by a world-renowned original threat research team and world-class support, SafeBreach helps enterprises transform their security strategy from reactive to proactive safely and at scale.

The best thing about SafeBreach? Definitely the people! SafeBreachers are friendly, collaborative, and hard working. Together, we've built an amazing culture, and we are looking to add more awesome people to our growing team!

🚀 The Impact You Will Have

• Build and optimize scalable data pipelines and services, with a focus on performance and efficiency.
• Drive new feature creation within complex data systems by gathering requirements, crafting robust architecture, and delivering high-quality solutions.
• Collaborate with multiple teams across the company to ensure the integration of data-driven features and services.
• Solve complex challenges in a fast-paced and evolving environment while maintaining high-quality standards.
• Ensure system reliability and robustness through CI/CD pipelines, Agile Scrum methodologies, and proactive testing.

⏳ Interview Process

Average Duration: 14-21 days

Key steps:

• Send your application
• Receive a response from us within 5-7 days

(If selected)

• Speak to the Head of Talent
• Meet the hiring manager
• On-Site Meetings
• Final steps

🫵 Who You Are

• 5+ years of hands-on experience in data engineering, data manipulation, and ETL development using tools like AWS, Node.js, and/or TypeScript.
• Demonstrated expertise in designing and implementing large-scale data systems and pipelines.
• Strong expertise in AWS or similar cloud platforms (S3, EC2, Athena, Glue, etc.), with a focus on deploying and optimizing data services.
• Strong background in data manipulation, including ETL flows, big data processing, and data modeling.
• Familiarity with Elasticsearch (Elastic) or similar search and analytics engines.
• Excellent teamwork and communication skills—able to collaborate effectively in a cross-functional environment.
• BSc in Computer Science/Engineering or equivalent industry experience.