Data Engineer
Core
Build and operate scalable, reliable data pipelines (ingestion, transformation, orchestration) powering the knowledge base, analytics, and applications supporting MSX's knowledge initiative, creating scalable, secure database information that power AI-driven automotive intelligence across global operations.
Role type
Data Engineer
Builds
Scalable, secure database information and data pipelines for AI-driven automotive intelligence
Domain
Automotive industry, Data Engineering, AI/ML infrastructure
Deliverable
production ML models | infrastructure
Required skills
Data pipeline architecture, ETL/ELT implementation, Database system design, Data warehousing, Data quality checks, Data lineage, CI/CD automation, Cloud platform integration, API development, Data governance
Preferred skills
Global data access optimization, Data remediation, System integration
Technologies
Azure, GCP, AWS, SharePoint, TrackIt
Responsibilities
Design, implement, and monitor data pipelines/ETL/ELT; Manage connectors to source systems; Implement robust database systems for automotive knowledge storage; Implement data warehousing solutions enabling advanced analytics and AI applications; Implement data quality checks, lineage, and data contracts; Optimize database performance for global access; Automate orchestration and CI/CD; Integrate with existing MSX systems and cloud platforms; Implement robust security measures protecting proprietary automotive knowledge; Develop API interfaces enabling seamless knowledge access by AI agents and applications; Establish data governance frameworks ensuring compliance with global regulations.
Seniority
Mid-to-Senior, hands-on IC
