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Mobileye
Mobileye

Senior Data Engineer

Israel
Full-Time
Hybrid

TLDR

Build data infrastructure from the ground up, spanning scalable batch and real-time pipelines, data lakes, warehouses, and unified sources.

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!

    Mobileye
    Mobileye

    Mobileye is a technology company at the forefront of the mobility revolution, developing advanced autonomous-driving and driver-assist systems. Our cutting-edge expertise in computer vision and machine learning not only powers self-driving vehicles but also enhances mobility infrastructure through sophisticated data analysis. With innovations like REM crowdsourced mapping and Responsibility-Sensitive Safety (RSS), we are shaping the future of intelligent transport.

    Founded
    Founded 1999
    Employees
    500+ employees
    Industry
    automotive
    Funding stage
    Public
    Stock ticker
    Publicly traded (MBLY)
    Total raised
    $3B raised
    Artificial Intelligence Automotive & Mobility Education
    View company profile
    Senior Data Engineer