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Big Data Team Lead

  • On-site
    • Central Israel, HaMerkaz, Israel

Job description

Location: Central Israel

Scope: Full Time - Employed

Description:

Are you passionate about building high-performance, real-time data platforms at scale? We're looking for a Big Data Team Lead to drive the design, development, and operation of mission-critical data pipelines that power real-time insights, automation, and AI-driven decision-making. This is a hands-on leadership role where you'll mentor engineers, shape technical strategy, and own highly scalable distributed systems from architecture through production.

Key Responsibilities

  • Lead and mentor a team of Big Data Engineers.

  • Architect, build, and optimize large-scale data pipelines and streaming platforms.

  • Own services end-to-end: design, development, deployment, monitoring, and operations.

  • Drive engineering excellence, performance optimization, observability, and reliability.

  • Partner closely with AI, ML, and backend teams to enable real-time automation and intelligent decision-making.

  • Help define technical direction, best practices, and scalable data architecture.

Job requirements

Qualifications

  • 5+ years of experience in big data engineering

  • Backend engineering experience - advantage

  • Proven experience leading engineering teams or technical projects

  • Strong Java development experience (Spring, Vert.x, or similar frameworks)

  • Expertise with Kafka and stream-processing technologies such as Flink, Spark, Beam, or Kafka Streams

  • Strong understanding of distributed systems, microservices, and cloud-native architectures

  • Deep knowledge of production environments, monitoring, observability, and performance tuning

  • Experience with databases including PostgreSQL, MySQL, Redis, and ClickHouse

  • Ability to take ownership of systems throughout their entire lifecycle

  • Passion for solving complex data challenges at scale

Join us and lead the teams building the real-time data infrastructure that turns massive streams of information into intelligent, autonomous action. 🚀

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