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Data Engineering Manager

·Israel
Not specifiedFull-timeData EngineeringFinancial ServicesIT ServicesTechnology

Lead and mentor a team of data infrastructure engineers. Define and execute the technical roadmap for data platforms, ensuring scalability, reliability, and high availability. Oversee architecture and pipeline development. Partner with cross-functional teams to support analytics and machine learning initiatives. Drive operational excellence through monitoring, automation, and incident management.

Responsibilities

  • Lead, mentor, and manage a team of data infrastructure engineers.
  • Define and execute the technical roadmap for the data infrastructure platform.
  • Oversee architecture, scalability, and reliability of data systems and pipelines.
  • Establish data quality standards, monitoring, and validation processes.
  • Partner with engineering and product teams to enable scalable data foundations for analytics and AI.
  • Drive operational excellence through monitoring, observability, automation, and incident management.
  • Manage end-to-end technical projects from design to production.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or related field.
  • 7+ years of experience in software, data, or infrastructure engineering.
  • 2+ years of experience managing or leading engineering teams.
  • Experience with distributed systems and large-scale data platforms.
  • Hands-on experience with Kafka, Spark, Flink, Airflow, DBT, Snowflake, or similar technologies.
  • Proficiency in Java, Scala, or Python.
  • Experience with cloud platforms (AWS, GCP, or Azure).
  • Strong understanding of system reliability, performance optimization, and operational best practices.
  • Excellent communication and stakeholder management skills.

Nice to have

  • Experience with real-time streaming and event-driven architectures.
  • Experience managing high-scale production environments.
  • Familiarity with Kubernetes and containerized infrastructure.
  • Experience leading platform modernization or migration initiatives.
  • Knowledge of CI/CD pipelines and infrastructure automation tools.

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