Tel Aviv-Yafo, Tel Aviv District, Israel Security Data Engineer

Tel Aviv-Yafo, Tel Aviv District, Israel

Established in 2022, Guardz rapidly emerged as a noteworthy player in the cybersecurity sphere, securing $30M in funding and rallying a dedicated team of 70 industry professionals. Our vision is to foster a safer digital landscape for small and medium businesses across the globe. To this end, we introduced our comprehensive all-in-one Secure & Insure platform in early 2023, and continue to grow and expand our team, our partnerships and our revenue.

We are seeking a talented and hands-on Data Engineer to join our innovative team focused on building our next-generation Managed Detection and Response (MDR) product. In this role, you will architect, develop, and optimize data-intensive systems that underpin our security research and AI initiatives. You will work closely with security researchers and cross-functional teams to build robust, scalable, and production-ready solutions using technologies such as BigQuery, Kusto, Elastic, or Clickhouse.

Responsibilities:

Design and implement scalable data architectures tailored for high-volume, data-intensive applications.
Work on system and product design discussions to ensure architecture supports security research and AI (LLM) integration.
Develop, optimize, and maintain data ingestion pipelines to support real-time analytics and AI workflows.
Build, deploy, and monitor production-ready systems using BigQuery, Kusto, Elastic, or Clickhouse while ensuring efficiency and reliability.
Work closely with security researchers to understand their data needs and translate them into robust engineering solutions.
Collaborate with cross-functional teams, including AI/ML engineers, to integrate data pipelines with advanced analytics and LLM-based features.
Ensure systems are resilient, secure, and performant by implementing best practices in deployment, monitoring, and troubleshooting.
Optimize existing data systems to enhance performance and handle large-scale security data efficiently.
Stay up to date with emerging data technologies and security trends to continuously enhance the MDR product.
Contribute to technical documentation, knowledge sharing, and mentoring within the team.

Requirements:

5+ years of hands-on experience as a Data Engineer or in a similar role with a strong focus on production systems.
Proven experience working with at least one of BigQuery, Kusto, Elastic, or Clickhouse in a production environment.
Deep understanding of data architecture principles, ETL/ELT processes, and pipeline optimization.
Proficiency in writing production-level code in Python, Java, or similar languages, along with strong SQL skills.
Strong background in building and maintaining data systems in production environments.
Familiarity with the cybersecurity domain and handling high-volume security data is a plus.
Excellent communication skills, with the ability to translate complex technical concepts to non-technical stakeholders.
Proven experience working collaboratively with security researchers and AI/ML engineers.
Self-driven, proactive, and passionate about solving complex data problems in fast-paced environments.
Interest in integrating AI/LLMs to enhance data processing and analytics capabilities.

Nice to Have:

Experience with cloud data platforms and services, such as Google Cloud Platform, Azure, or AWS.
Background in cybersecurity or prior experience in security product development.
Familiarity with containerization and orchestration tools, such as Docker and Kubernetes.

If you’re a dedicated and innovative Data Engineer with a passion for building robust, scalable systems in a security-centric environment, we’d love to hear from you. Join us to help shape the future of our MDR product and make a tangible impact in the cybersecurity landscape!