Senior Data Engineer
Volkswagen Group Services is a Volkswagen Group company oriented towards working for Group companies worldwide.
We provide services in the areas of production, logistics, data engineering (IT), engineering, consulting, quality, business services, human resources, communication and administrative and financial services. We are focused on our clients’ activities and take responsibility for carrying them out on their behalf.
We are currently hiring a Data Engineer to join our I&E HUB in Lisbon.
Who are we?
At the Innovation & Engineering Hub, we develop bold, market-ready solutions that support Volkswagen Group and its leading brands. Together with TRATON Group’s Global R&D — home to brands like Scania, MAN, International, and Volkswagen Caminhões e Ônibus — we’re building the future of intelligent and sustainable transport. Global R&D focuses on:
- Alternative Drive Systems
- Digitalization
- Automated Driving
- Road Safety
We’re not just manufacturing vehicles — we’re engineering the future of mobility.
Brief Role Description
Possible Tasks within this Role
- Working in the context of autonomous vehicles you will create and run data engineering pipelines using modern cloud infrastructure.
- You will analyze, aggregate and visualize data for usage in our future trucks, using agile methodologies and supporting integral parts of our technical roadmap decisions.
- You will create dashboards, reports and data storage, supporting and interacting with our self driving systems to track and improve KPIs.
- You analyze, extract and aggregate data generated by a fleet of autonomous vehicles and develop methods from ML and AI to help improve the assessment and assistance of situations.
- You take care of cloud native services to improve your daily work.
- You will be able to take end to end responsibility for the systems you build, working closely with other departments to explain and present your results.
- You advise your team and other teams on all questions around data engineering and ML/AI in the autonomous vehicle area and work together on continuously improving your pipelines, tooling and processes.
- You take initiative to solve problems and overcome roadblocks, being the interface between data engineering, software development and the stakeholder. You are a result-oriented individual.
- You are happy to learn new technologies and to find innovative and pragmatic remedies.
Qualification requirements
- Bachelor's degree in related field or comparable job expertise.
- At least 5 years experience in the field of data engineering.
- Hands-on experience with the analysis of real-world telematic data.
- Experience in applying and understanding data engineering patterns and ML algorithms.
- Proficiency in relevant programming languages (e.g. Python).
- Ability to analyze, interpret and visualize data.
- Experience with AI frameworks is a plus.
- Familiarity with dashboard creation.
- Knowledge of AWS usage for data engineering and ML is an advantage.
- Effective communication and teamwork skills.
- Ability to identify and solve technical issues.
- Willingness to learn and adapt to new technologies.
- Experience in the DevOps and agile methodology.
- High sense of quality and responsibility.
- Very good English skills, both written and spoken.
- Team-oriented mindset and strong collaboration skills.
- Experience in the automotive industry is a plus.
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Lisboa, PT, 1200-246
Senior Data Engineer
Volkswagen Group Services is a Volkswagen Group company oriented towards working for Group companies worldwide.
We provide services in the areas of production, logistics, data engineering (IT), engineering, consulting, quality, business services, human resources, communication and administrative and financial services. We are focused on our clients’ activities and take responsibility for carrying them out on their behalf.
We are currently hiring a Data Engineer to join our I&E HUB in Lisbon.
Who are we?
At the Innovation & Engineering Hub, we develop bold, market-ready solutions that support Volkswagen Group and its leading brands. Together with TRATON Group’s Global R&D — home to brands like Scania, MAN, International, and Volkswagen Caminhões e Ônibus — we’re building the future of intelligent and sustainable transport. Global R&D focuses on:
- Alternative Drive Systems
- Digitalization
- Automated Driving
- Road Safety
We’re not just manufacturing vehicles — we’re engineering the future of mobility.
Brief Role Description
Possible Tasks within this Role
- Working in the context of autonomous vehicles you will create and run data engineering pipelines using modern cloud infrastructure.
- You will analyze, aggregate and visualize data for usage in our future trucks, using agile methodologies and supporting integral parts of our technical roadmap decisions.
- You will create dashboards, reports and data storage, supporting and interacting with our self driving systems to track and improve KPIs.
- You analyze, extract and aggregate data generated by a fleet of autonomous vehicles and develop methods from ML and AI to help improve the assessment and assistance of situations.
- You take care of cloud native services to improve your daily work.
- You will be able to take end to end responsibility for the systems you build, working closely with other departments to explain and present your results.
- You advise your team and other teams on all questions around data engineering and ML/AI in the autonomous vehicle area and work together on continuously improving your pipelines, tooling and processes.
- You take initiative to solve problems and overcome roadblocks, being the interface between data engineering, software development and the stakeholder. You are a result-oriented individual.
- You are happy to learn new technologies and to find innovative and pragmatic remedies.
Qualification requirements
- Bachelor's degree in related field or comparable job expertise.
- At least 5 years experience in the field of data engineering.
- Hands-on experience with the analysis of real-world telematic data.
- Experience in applying and understanding data engineering patterns and ML algorithms.
- Proficiency in relevant programming languages (e.g. Python).
- Ability to analyze, interpret and visualize data.
- Experience with AI frameworks is a plus.
- Familiarity with dashboard creation.
- Knowledge of AWS usage for data engineering and ML is an advantage.
- Effective communication and teamwork skills.
- Ability to identify and solve technical issues.
- Willingness to learn and adapt to new technologies.
- Experience in the DevOps and agile methodology.
- High sense of quality and responsibility.
- Very good English skills, both written and spoken.
- Team-oriented mindset and strong collaboration skills.
- Experience in the automotive industry is a plus.
|
|
Lisboa, PT, 1200-246
Lisboa, PT, 1200-246