Petah Tikva
Full time
About us:
Mobileye is a global leader in Physical AI, developing computer vision, software, and hardware to power autonomous driving solutions and humanoid robots. Our mission is to bring autonomy into the real world by building intelligent technologies that are designed to expand accessibility and enhance everyday life, from advanced driver assistance systems (ADAS) and autonomous driving to robotics and humanoids.
Built on decades of automotive innovation and industrial-scale AI expertise, Mobileye technologies power more than 230 million vehicles worldwide. With teams around the world, we continue to innovate at the forefront of autonomous systems, advancing the next generation of Physical AI for the real world.
About the team:
We are looking for a strong, hands-on Data Platform Engineer to join our team and play a key role in building our data infrastructure from the ground up. In this role, you will design and implement scalable data pipelines and platforms, supporting both batch and real-time use cases. You will work closely with analysts and stakeholders to deliver reliable, high-quality data solutions, and take full ownership of data flows – from ingestion to consumption. This is a great opportunity for an executor who enjoys building, moving fast, and making an impact.
What will your job look like?
- Design, build, and maintain the underlying infrastructure for a modern cloud-based data platform.
- Implement and manage CI/CD processes for data pipelines and platform deployments across development and production environments.
- Design and manage secure, scalable AWS-based data infrastructure, including IAM roles, permissions, policies, networking, and environment isolation.
- Build and maintain orchestration, monitoring, alerting, and observability capabilities for data pipelines and platform services.
- Support deployment, reliability, and operational excellence of data workloads running on technologies such as Spark, DBT, Airflow, Athena, and AWS services.
- Collaborate closely with Data Engineers, Analysts, BI teams, and IT/Cyber teams to ensure secure and scalable data operations.
- Monitor, troubleshoot, and optimize platform performance, availability, and cost efficiency.
- Establish best practices for infrastructure-as-code, deployment standards, security, and production readiness.
- 5+ years of hands-on experience in Data Engineering, Platform Engineering, DevOps, or Cloud Infrastructure roles.
- Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
- Strong hands-on experience with AWS, including services such as IAM, S3, Athena, CloudWatch, networking, permissions, and security policies.
- Experience managing development and production environments, deployment processes, and CI/CD pipelines.
- Experience supporting and operating data platforms and pipelines in production environments.
- Strong understanding of data engineering concepts and modern data architectures (batch and real-time).
- Experience working with Spark, Airflow, and cloud-based data processing frameworks.
- Strong Python and SQL skills.
- Experience with monitoring, logging, alerting, and operational troubleshooting of data systems.
- Strong ownership and execution mindset, with the ability to work in fast-paced and ambiguous environments.
- Fluent in English.
Nice to have:
- Experience with Infrastructure as Code tools (Terraform / CloudFormation).
- Experience with Kubernetes, containerized environments.
- Experience with Kafka, Iceberg, Databricks, Snowflake.
