Senior Data Engineering Expert

4 days ago

Tel AvivYafo, Israel beBeeDataEngineering Full time

About Us

We are a team of innovative professionals passionate about redefining the relationship between attorneys and clients. Our mission is to empower attorneys and consumers through the legal journey by providing cutting-edge solutions.

Overview

Data infrastructure is the backbone of our ability to drive AI-driven innovation and enhance product offerings. We understand deeply the needs of our products and engineering teams, identifying optimal data sources, architecting intuitive data models, and building robust data systems form the core of our mission.

We are seeking an experienced Senior Data Engineer to join our growing Data Engineering team. This high-impact role focuses on designing, building, and scaling our Production Data Layer Infrastructure, the foundational systems that empower engineering teams to build data-driven features and power our AI solutions.

Key Responsibilities:

  • Develop and implement scalable, production-grade data infrastructure.
  • Collaborate closely with backend and platform teams to enable data-powered product development.
  • Build and maintain data systems serving both real-time and batch workloads for analytical and product needs.
  • Create robust, high-quality data pipelines and tooling with strong SLAs and high resilience.
  • Drive standards in data modeling, observability, orchestration, and governance.
  • Contribute to architectural decisions impacting our AI strategy and long-term scalability.

Requirements

  • 5+ years of experience as a Data Engineer, particularly within product engineering environments.
  • Hands-on experience building data streaming infrastructure (e.g., Kafka, Flink), or workflow engines.
  • Strong expertise in PostgreSQL, Snowflake, and ClickHouse or other modern databases.
  • Advanced proficiency in SQL and Python.
  • Proven experience building and maintaining production-ready data systems supporting both business intelligence and product logic.
  • Solid understanding of data architecture, and best practices for data reliability and scalability.
  • Bachelor's or Master's degree in Computer Science, Information Systems, or equivalent experience.
  • Strong communication and collaboration skills; comfortable working cross-functionally with engineering and product.

Bonus Points

  • Familiarity with Data Mesh architecture or decentralized data ownership models.
  • Experience with orchestration tools (e.g., Airflow) and distributed systems.
  • Experience building platforms supporting AI/ML pipelines.

We provide equal employment opportunities to all employees and applicants, and prohibit discrimination and harassment of any type without regard to protected characteristics.

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