Senior Data Engineer

Tel Aviv · Full-time

About The Position

Who are we?

Argus Cyber Security is a global leader in the automotive cyber security industry. We protect drivers & manufacturers from cyber attacks on their vehicles. We use top notch technology & have several products for inside & outside the car. Our growing team is built of talented thinkers and we are always looking for more!

Why Argus?

  • You can be part of a leading company in the automotive industry
  • You can help save lives
  • You can work with cool challenging technology
  • You can make an impact & help change the world


  • Lead development projects of critical, high-availability, cloud-scale services and APIs
  • Support clients with large amounts of data and scalability in mind
  • Take part in all development stages – from design to deployment
  • Develop and deploy real time/batch data processing pipelines using the latest technologies
  • Design and build high-availability, cloud-scale data pipelines (ETLs)

Location: Tel Aviv or Haifa


  • +3 years of experience in large scale, distributed server side, backend development
  • +3 years of experience developing using JVM languages (Java, Scala) and with NodeJS (preferably TypeScript)
  • Extensive experience in stream & batch big data pipeline processing using Apache Spark
  • Experience with Linux, Docker, and Kubernetes
  • Experience in working with cloud providers (e.g., AWS, GCP)
  • A team player, highly motivated and a fast learner
  • Ability to assume ownership of goals and products
  • Passion for designing scalable, distributable and robust platforms and analytic tools


  • Experience in leading software development projects from scratch to production
  • Experience in microservices architecture and flexible system design
  • Experience with Kafka, Airflow, Mongo, Elastic, HDFS or similar technologies
  • Experience in stream & batch big data pipeline processing using Apache Flink
  • Experience with scripting languages such as Python, Groovy
  • Experience working closely with ML teams
  • Experience with system monitoring (Prometheus, Influx or similar)
  • Good presentation skills

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