Senior Data Engineer

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. * Experience with data platform technologies such as Databricks, Snowflake – Advantage. * Experience building data platforms using modern lakehouse technologies (e.g., Iceberg) – Advantage. * Fluent in English. 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!