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.
