Company Description 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.

Company Description 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.

Job Description 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 andmanage 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);

Collaboratewith 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.

Qualifications

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

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2 years of experience as a Data Engineer;

Strong programming skills in Python and SQL;

Expertise in datapipelining (AirFlow);

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

Solid understanding of data modeling and databases (relational, NoSQL, time-series);

Familiaritywith data versioning and lineage tracking;

Experience with Agile project management methods (Scrum, Kanban);

Experience working in an international team (desirable);

Reliable team player with structured self-organized workstyle;

Proficient English language skills (spoken / written).

Additional Information Our offer:

Integration in a challenging and international work environment;

Flexible working model;

Collaborative working style;

Continuous opportunities for the promotion of talent and training;

Opportunityto make a difference.

We are committed to fostering a workplace where everyone feels safe, respected, and valued. All kind of applications are welcome.

Data Engineer - R&D Digital Solutions

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