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 understanding of data modeling and databases (relational, NoSQL, time-series);
- Familiarity with 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).
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;
- Opportunity to make a difference.
We are committed to fostering a workplace where everyone feels safe, respected, and valued. All kind of applications are welcome.
Ready to drive with Continental? Take the first step and fill in the online application.
Skills Required
- Academic degree in Computer Science, IT, Engineering, Mathematics, or a related field
- More than 2 years of experience as a Data Engineer
- Strong programming skills in Python and SQL
- Expertise in data pipelining with Airflow
- Hands-on experience with big data and distributed processing frameworks such as Spark, Databricks, Hadoop, Kafka, or dbt
- Solid understanding of data modeling and relational, NoSQL, and time-series databases
- Familiarity with data versioning and lineage tracking
- Experience with Agile project management methods, including Scrum or Kanban
- Experience working in an international team
- Reliable team player with a structured, self-organized work style
- Proficient spoken and written English
What We Do
Continental develops pioneering technologies and services for sustainable and connected mobility of people and their goods. Founded in 1871, the technology company offers safe, efficient, intelligent and affordable solutions for vehicles, machines, traffic and transportation. In 2020, Continental generated sales of €37.7 billion and currently employs around 235,000 people in 58 countries and markets. In 2021, the company celebrates its 150th anniversary.
