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Job Overview

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 points

  1. In Digital Solutions, we drive innovation for connected mobility and deliver cutting-edge digital products to our global fleet customers.

  2. 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…

  3. You will design, develop, and maintain scalable data infrastructures, ensuring seamless integration of IoT and telematics data from connected tires and vehicles.

  4. Design, build, and maintain scalable data pipelines for real-time and batch processing of IoT and telematics data.

  5. Academic degree in Computer Science, IT, Engineering, Mathematics, or related field.

  6. Strong programming skills in Python and SQL.

  7. Expertise in data pipelining (AirFlow).

  8. Hands-on experience with big data and distributed processing frameworks (e.g., Spark, Databricks, Hadoop, Kafka, DBT).

Languages

English required

Skills

Machine LearningMLOpsPythonSQLNoSQLETLAirflowDatabricks

Experience: Entry-level · 2 years · Job type: Full-time

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