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MisuJob - AI Job Search Platform MisuJob

Senior Big-Data Engineer

Controlup

Rishon Lezion Hybrid permanent

Posted: September 29, 2025

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Quick Summary

We're looking for a senior data engineer to join our team and drive the next stage of our growth. The ideal candidate will have experience in designing, building, and scaling data infrastructure and advanced processing pipelines that power real-time insights and intelligent automation across our platform.

Job Description

The Role
We’re looking for an experienced Data Engineer to join our DEX Platform and help drive the next stage of our growth. In this role, you’ll design, build, and scale data infrastructure and advanced processing pipelines that power real-time insights and intelligent automation across our platform.

As a senior data engineer, you’ll own the full service lifecycle—from architecture and development to deployment, monitoring, and scaling—while ensuring data quality, reliability, and compliance. You’ll work closely with backend, AI, and data teams to deliver robust, production-ready systems that support our AI-first strategy and our mission to make the workplace run itself.


Qualifications::
• 5+ years of backend/data engineering experience
• Proficiency with Java (Vert.x, Spring or similar) - a must
• Hands-on experience with Kafka and streaming frameworks like Kafka Streams, Flink, Spark, or Beam - a must
• Solid understanding of microservices architecture and cloud platforms (Azure/AWS/GCP)
• Familiarity with AI-first development tools (GitHub Copilot, Cursor) – an advantage
• Experience working in production-aware, observability-driven environments - monitoring troubleshooting, and optimizing
• Knowledge of Postgres, Redis, MySQL or similar, Clickhouse
• Experience in Node.js (NestJS/Express) - a big advantage
• Strong foundation in object-oriented design, design patterns, and clean code practices
• Comfortable designing, deploying, and maintaining backend services and data flows
• Passion for learning, experimenting with new tech, and building reliable systems at scale

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