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Senior Data Engineer at Autofleet | Tel Aviv-Yafo

AutofleetTel Aviv-Yafo, Tel Aviv District, Israel
On-site Full-time

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Experience Level

Senior

Qualifications

Requirements: At least 4 years of experience in backend data engineering or infrastructure-focused software development. Proficient in Python, with a proven ability to develop production-grade data services. Strong knowledge of SQL. Demonstrated expertise in designing and operating scalable, low-latency data pipelines (both batch and streaming). Experience in building and maintaining data platforms, including data lakes, pipelines, and developer tools. Familiarity with orchestration tools such as Airflow and modern CI/CD practices. Comfortable operating in cloud-native environments (AWS, GCP), including containerization technologies (e.g., Docker, Kubernetes). Bonus: Experience working with GCP. Bonus: Familiarity with data quality monitoring and alerting. Bonus: Extensive hands-on experience with Spark for large-scale distributed data processing. A degree in Computer Science, Engineering, or a related field.

About the job

Autofleet helps major fleet operators and transportation providers improve efficiency and launch new business models. The platform relies on advanced data infrastructure to power machine learning and real-time optimization.

Role Overview

The Senior Data Engineer will take ownership of Autofleet’s backend data infrastructure. This role focuses on building and scaling the systems that enable real-time analytics, machine learning, and operational insights.

What You Will Do

  • Design, build, and maintain scalable data pipelines for both batch and real-time processing using Spark and other modern tools.
  • Manage backend data infrastructure, including ingestion, transformation, validation, and orchestration of large datasets.
  • Work with Google Cloud Platform (GCP) to architect and operate secure, cost-effective, and scalable data solutions.
  • Develop and refine ETL/ELT workflows to support analytics, internal applications, and machine learning projects.
  • Create and maintain data marts and models with a focus on performance, data quality, and sustainability.
  • Collaborate with development, product, and external teams to understand data needs and translate them into scalable solutions.
  • Shape architectural decisions related to distributed data processing, pipeline reliability, and system scalability.

Location

This position is based in Tel Aviv-Yafo, Tel Aviv District, Israel.

About Autofleet

At Autofleet, we are at the forefront of transforming mobility, providing innovative solutions to vehicle fleet operators and transportation providers. Our focus is on optimizing operations and introducing dynamic business models that enhance efficiency and utilization.

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