Data Engineer
Core
Build and operate scalable, reliable data pipelines (ingestion, transformation, orchestration) powering the knowledge base, analytics, and applications supporting AI-driven automotive intelligence.
Role type
Senior Data Engineer (Automotive Knowledge Systems)
Builds
Production-grade data pipelines, secure database systems, and data warehousing solutions for global automotive operations.
Domain
Automotive industry, Data Engineering, AI/ML Infrastructure
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, database design and optimization, ETL/ELT orchestration (Airflow/Prefect), cloud platforms (Azure, AWS, GCP), distributed systems, Python, Scala, IaC, observability, data security and compliance.
Preferred skills
Automotive industry data systems, AI/ML data infrastructure, knowledge management systems, multi-language data systems, global database management.
Technologies
Airflow, Prefect, Azure, AWS, GCP, Snowflake, BigQuery, Databricks, Python, Scala, SQL
Responsibilities
Design, implement, and monitor data pipelines/ETL/ELT; manage connectors to diverse source systems; implement robust database systems for automotive knowledge storage; optimize database performance for global access; automate orchestration and CI/CD; integrate with existing systems and cloud platforms; develop API interfaces for AI agents; establish data governance frameworks.
Seniority
Mid-to-Senior, hands-on IC
