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 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 robust and scalable data pipelines (batch and real-time) end-to-end.
- Design and implement scalable, flexible data architectures to support evolving business needs.
- Build and manage data platforms, including data lakes and data warehouses.
- Integrate multiple data sources (structured and unstructured) into a unified data platform using batch (ETL) and real-time streaming solutions.
- Design and implement efficient data models, schemas, and database structures (SQL / NoSQL).
- Develop and implement data quality processes to ensure accuracy, consistency, and reliability.
- Monitor, optimize, and troubleshoot data infrastructure to meet performance and SLA requirements.
All you need is:
- 5+ years of hands-on experience as a Data Engineer, building data systems from scratch in dynamic environments.
- Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
- Strong proficiency in Python and advanced SQL, with solid experience in data modeling.
- Proven experience designing and building scalable data pipelines (batch and real-time), including streaming technologies such as Kafka.
- Strong experience working with AWS, including services such as S3, Athena and DynamoDB.
- Experience working with big data processing frameworks such as Spark, and columnar data formats (e.g., Parquet).
- Hands-on experience with workflow orchestration tools such as Airflow.
- Strong ownership and execution mindset, with excellent problem-solving skills and high attention to detail, and the ability to collaborate effectively and deliver in ambiguous, fast-paced environments.
- Fluent in English.
Nice to have:
- Experience with data platform technologies such as Databricks, Snowflake.
- Experience building data platforms using modern lakehouse technologies (e.g., Iceberg).
Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!
