Data Engineer - R&D Digital Solutions
Core
Building and optimizing scalable data platforms and pipelines to power AI-driven solutions for global fleet customers, specifically integrating IoT and telematics data from connected tires and vehicles.
Role type
Data Engineer (R&D Digital Solutions)
Builds
Scalable data infrastructures, cloud-based data platforms, and reliable datasets for end-to-end AI/ML services.
Domain
Automotive / Connected Mobility / IoT / Telematics
Deliverable
production ML models
Required skills
Python, SQL, AirFlow, Spark, Databricks, Hadoop, Kafka, DBT, data modeling, relational databases, NoSQL, time-series databases, data versioning, lineage tracking
Preferred skills
Agile project management (Scrum, Kanban), international team collaboration
Technologies
AirFlow, Spark, Databricks, Hadoop, Kafka, DBT
Responsibilities
Design, build, and maintain scalable data pipelines for real-time and batch processing of IoT and telematics data; Develop and manage cloud-based data platforms optimizing for performance, scalability, and cost; Implement data quality, validation, and governance processes; Collaborate with Data Scientists and MLOps Engineers to deliver datasets; Mentor junior engineers and organize knowledge-sharing sessions.
Seniority
Mid-level, hands-on IC
