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.
- Experience with Infrastructure as Code tools (Terraform / CloudFormation) – Advantage
- Experience with Kubernetes, containerized environments – Advantage
- Experience with Kafka, Iceberg, Databricks, Snowflake – Advantage
- Strong ownership and execution mindset, with the ability to work in fast-paced and ambiguous environments.
- Fluent in English.
Skills Required
- 5+ years of hands-on experience in Data Engineering, Platform Engineering, DevOps, or Cloud Infrastructure roles
- Bachelor's degree in Computer Science, Engineering, or related field (or equivalent practical experience)
- Strong hands-on experience with AWS including IAM, S3, Athena, CloudWatch, networking, permissions, and security policies
- Experience managing development and production environments 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, DBT, 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; ability to work in fast-paced, ambiguous environments
- Fluent in English
- Experience with Infrastructure as Code tools (Terraform / CloudFormation)
- Experience with Kubernetes and containerized environments
- Experience with Kafka, Iceberg, Databricks, or Snowflake
What We Do
Mobileye is leading the mobility revolution with its autonomous-driving and driver-assistance technologies, harnessing world-renowned expertise in computer vision, machine learning, mapping, and data analysis. Founded in 1999, Mobileye has pioneered such groundbreaking technologies as REM™ crowdsourced mapping, True Redundancy™ sensing, and the RSS™ safety model. These technologies are driving the ADAS and AV fields towards the future of mobility – enabling self-driving vehicles and mobility solutions, powering industry-leading advanced driver-assistance systems and delivering valuable intelligence to optimize mobility infrastructure. Mobileye technology is used in over 170 million vehicles worldwide. In 2022, Mobileye became an independent company while still being majority-owned by Intel. Mobileye’s headquarters and R&D center are based in Jerusalem, with additional offices across Israel and around the world.
Why Work With Us
Our technology enables self-driving vehicles and mobility solutions, powers industry-leading advanced driver assistance systems, and delivers valuable intelligence to optimize mobility infrastructure.
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