Data Engineer - R&D Digital Solutions

Continental is a leading tire manufacturer and industry specialist that develops and produces sustainable, safe and convenient solutions for automotive manufacturers as well as industrial and end customers worldwide. Founded in 1871, the company generated sales of €19.7 billion in 2025 and currently employs around 78,000 people in 54 countries and markets. In Digital Solutions, we drive innovation for connected mobility and deliver cutting-edge digital products to our global fleet customers. As a Data Engineer, you will play a key role in building and optimizing data platforms and pipelines that power AI-driven solutions for our global fleet customers. You will design, develop, and maintain scalable data infrastructures, ensuring seamless integration of IoT and telematics data from connected tires and vehicles. Working closely with Data Scientists, MLOps Engineers, and cross-functional teams, you will enable advanced analytics and machine learning capabilities that enhance safety, reduce costs, and extend tire lifecycle. Key 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 workflows for performance, scalability, and cost efficiency; Implement data quality, validation, and governance processes, ensuring compliance with security and privacy regulations (e.g., GDPR); Collaborate with Data Scientists and MLOps Engineers to deliver reliable datasets and support end-to-end AI/ML services; Mentor junior engineers, review work, and organize knowledge-sharing sessions to foster best practices. Academic degree in Computer Science, IT, Engineering, Mathematics, or related field; >2 years of experience as a Data Engineer; Strong programming skills in Python and SQL; Expertise in data pipelining (AirFlow); Hands-on experience with big data and distributed processing frameworks (e.g., Spark, Databricks, Hadoop, Kafka, DBT); Solid understan