Job Summary: Continental is seeking a Data Engineer to build and optimize data platforms and pipelines supporting AI solutions for global fleet customers. Key Highlights: 1. Integration into an international and challenging environment 2. Participation in digital projects for connected mobility 3. Opportunities for development and training Continental is recruiting a Data Engineer to join the R\&D Digital Solutions team in Lousado, with a flexible work model. Continental is a global automotive company and one of the leading tire manufacturers, developing sustainable, safe, and convenient solutions for automotive OEMs, industrial customers, and end consumers. In this role, the selected candidate will play a key part in building and optimizing data platforms and pipelines that support AI-based solutions for global fleet customers. **Responsibilities:** Design, build, and maintain scalable data pipelines for real-time and batch processing; Work with IoT and telematics data from connected tires and vehicles; Develop and manage cloud-based data platforms; Optimize workflows for performance, scalability, and cost efficiency; Implement data quality, validation, and governance processes; Ensure compliance with security and privacy requirements, including GDPR; Collaborate with Data Scientists and MLOps Engineers to deliver reliable datasets; Support end\-to\-end AI and machine learning services; Contribute to analytical solutions that improve safety, reduce costs, and extend tire lifecycle; Mentor and guide junior engineers; Review technical work and promote best practices; Organize knowledge-sharing sessions. **Requirements:** Bachelor’s or Master’s degree in Computer Engineering, Information Technologies, Engineering, Mathematics, or related field; 2+ years of experience as a Data Engineer; Strong programming skills in Python and SQL; Experience in data pipelining, particularly with Airflow; Practical experience with big data and distributed processing frameworks such as Spark, Databricks, Hadoop, Kafka, or DBT; Solid knowledge of data modeling and relational, NoSQL, and time\-series databases; Familiarity with data versioning and lineage tracking; Experience with Agile methodologies such as Scrum or Kanban; Ability to work collaboratively in teams; Structured, autonomous, and organized working style; Good spoken and written English proficiency. **Preferred Qualifications:** Experience working in international teams; Experience with IoT, telematics, or connected mobility data; Knowledge of MLOps, machine learning, or advanced analytics; Experience in cloud environments and scalable data platforms. **Offer:** Flexible work model; Integration into an international and challenging work environment; Participation in digital projects related to connected mobility and solutions for global fleets; Collaborative working style; Continuous development opportunities, talent promotion, and training; Opportunity to contribute to digital solutions impacting safety, efficiency, and sustainability; Integration into a global organization. **Diversity and Inclusion:** Continental fosters a workplace where everyone feels safe, respected, and valued. The company welcomes applications from diverse backgrounds and experiences, promoting an inclusive and collaborative culture.
João Santos
Indeed · HR
João Santos
Indeed · HR
