Data Engineer
Lisboa, PT, 1200-246
The Innovation & Engineering Hub by Volkswagen Group Services, in Portugal, delivers groundbreaking solutions together with our stakeholders, by developing sustainable and market-oriented products as well as innovative services. Volkswagen Group Services is positioned in the market with a broad range of automotive services and supports the core business of Volkswagen, other brands, and organizations.
Side by side with MAN Truck & Bus, one of Europe's leading manufacturers of commercial vehicles, we are hiring for a dedicated team in our Hub. ��
MAN Truck & Bus is focusing on four key areas:
- Alternative drive systems
- Digitalization
- Automated driving
- Road Security
Thus transforming itself from a commercial vehicle manufacturer to a provider of intelligent and sustainable transport solutions.
About the Team:
To drive innovation and unlock the full potential of Software-Defined Vehicles, a User Experience Platform is essential for all TRATON brands. This platform serves as the backbone, weaving together multiple layers—from cloud-based components to frontend components.
The heart of this initiative lies in simplifying complexity. By offering seamless, standardized APIs and a suite of versatile services, features, and tools, the platform empowers each brand to focus on what matters most: delivering exceptional value to their customers and accelerating the launch of market-driven solutions.
We are looking for enthusiastic and proactive people to be part of the team responsible for kicking off this journey to deliver the first use case as a proof of concept in order to get more insights and that can evolve into a customer-ready product.
Your Responsibilities:
- Support Data Understanding & Modeling: Help clients make sense of their data landscape, advising on modeling approaches and use cases.
- Simplify Data Complexity: Translate complex data concepts into practical, business-friendly insights.
- Design & Optimize Data Workflows: Build and maintain scalable KNIME workflows (or similar ETL pipelines) to integrate, clean, and transform data.
- Enable Data Integration: Support the connection of various systems and data sources to enable unified analysis.
- Advise on Data Best Practices: Recommend approaches for data quality, governance, and usage aligned with business needs.
- Collaborate Cross-Team: Work closely with both technical and business stakeholders to ensure seamless delivery and adoption.
- Stay Ahead: Keep up with developments in data engineering, analytics, and automation platforms like KNIME or similar tools.
Your Skills & Qualifications:
- Strong data literacy and ability to navigate both business and technical topics
- Hands-on experience with KNIME or similar ETL tools
- Solid understanding of data integration and modeling
- Proactive and client-oriented mindset with strong problem-solving skills
- Analytical thinking and ability to design scalable, pragmatic solutions
- Excellent communication skills, capable of translating technical concepts clearly
- Fluency in English (German is a plus)
What We Can Offer:
- Attractive remuneration
- Flexible work hours and hybrid model
- Attractive workspace
- Active health care
- Employee benefits
For more information on our data processing activities and your rights as a data subject, please consult our privacy policy.
Ref: Level A
- Pensamento analítico
- Atenção aos detalhes
- Capacidade de comunicação
- Problem-solving
- Data analysis
- Aprendizagem digital
- Inglês
- Gestão do conhecimento
- Programação
- Modelagem orientada a serviços
- Desenvolvimento de software
- Especificação (norma técnica)
- Análise estática de programas
- Test automation
- Métodos de trabalho ágeis
- Processamento de linguagem natural
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Data analysis Data quality Engineering ETL KNIME Pipelines Privacy Security
Perks/benefits: Flex hours Health care
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.