Data Engineer
Core
Design, build, and operate scalable data and ML platform components, including data lakes, query engines, and MLOps tools, to support AI-driven cybersecurity and operational intelligence for millions of connected vehicles.
Role type
Senior Platform Engineer (Data Infrastructure)
Builds
Scalable data pipelines, data lakes, analytics engines, and automated orchestration frameworks for automotive AI solutions.
Domain
Automotive cybersecurity and operational intelligence
Deliverable
infrastructure
Required skills
Data pipeline design, ETL & orchestration, distributed data processing, Python, containerized environments, data lake architecture, CI/CD, data governance
Preferred skills
Open-source product experience, general-purpose programming languages (Java, Scala, Kotlin, Go), Kubernetes
Technologies
Iceberg, Trino, Prefect, GitHub Actions, Kubernetes, JupyterHub, MLflow, dbt, Airflow, Argo, Spark, Kafka, Presto
Responsibilities
Design and maintain scalable data pipelines for batch data ingestion and transformation; Build foundational data infrastructure including data lakes and analytics engines; Develop orchestration and governance tools; Collaborate with data architects and scientists to construct technical data flows.
Seniority
Senior, hands-on IC