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Lousado, Braga, Portugal
Live, first seen by us todayWork setup in the employer’s posting: On-siteFrom the employer’s posting
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
You will design, develop, and maintain scalable data infrastructures, ensuring seamless integration of IoT and telematics data from connected tires and vehicles.
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;
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:
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;
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);
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);
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
Day 0
Early. Similar jobs usually come down between day 5 and day 54.
From 10,736 similar postings that came down. Coming down is not always a hire.
4 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- >2 years of experience as a Data Engineer; - Strong programming skills in Python and SQL; - Expertise in data pipelining (AirFlow);
- 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);
- 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;
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Yes. We’ve followed 2 other Data Engineer - R&D Digital Solutions jobs there since June 2026. 2 came down, usually after about 3 days.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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:
Our offer:
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.
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.
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Lousado, Braga, Portugal
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