Annual gross salary range: Min. 18,137€ - Max. 27,577€ (depending on experience)
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 Junior AI & Data Engineer Project to join our Smart Cloud Factory Team in Lisbon
The Smart Cloud Factory is dedicated to transforming traditional manufacturing into a fully connected, intelligent, and sustainable Smart Factory. The factory leverages digitalized and automated manufacturing processes, real-time data integration and analytics, sustainable and energy-efficient production systems, and human-machine collaboration to achieve Volkswagen’s vision of a Software-Enabled Car Company.
The Smart Cloud Factory supports the integration of IoT, cloud platforms, data pipelines, and AI to enable predictive maintenance, real-time quality control, and agile manufacturing. The factory aims to simplify complexity and create a connected ecosystem where machines, systems, and people work seamlessly together.
Our Smart Cloud Factory team is at the forefront of Volkswagen’s transformation strategy. We are building the digital backbone of tomorrow’s production systems—integrating IoT, cloud platforms, data pipelines, and AI to enable predictive maintenance, real-time quality control, and agile manufacturing.
The mission is to simplify complexity and create a connected ecosystem where machines, systems, and people work seamlessly together. By leveraging cutting-edge technologies and scalable architectures, we empower production teams to make faster, smarter, and more sustainable decisions.
· Assist in designing and developing data processing pipelines to enable seamless communication between IT and OT systems.
· Work with programming languages such as Python to manipulate and transform data for AI model training, analysis, and visualization.
· Support the management and optimization of SQL and NoSQL databases to store and retrieve data efficiently.
· Help build and manage containerized applications using Docker and orchestration tools like Kubernetes (K8s).
· Collaborate with cross-functional teams to understand data requirements and contribute to designing data engineering solutions.
· Participate in ensuring data quality and integrity by supporting data validation and cleansing processes.
· Assist in implementing CI/CD practices to automate the software delivery pipeline.
· Embracing agile development methodologies, participating in sprint planning, and code reviews.
· Stay up-to-date with emerging technologies and best practices in AI, data engineering, cloud computing, and DevOps.
· Machine Learning frameworks knowledge
· Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent work experience.
· Some experience (internships, academic projects, or a first professional role) in Software Development, Data Engineering, or AI-related fields.
· Familiarity with programming languages such as Python, or others relevant to data engineering and AI tasks.
· Basic understanding of SQL and NoSQL databases and the ability to work with them for data storage and retrieval.
· Exposure to containerization technologies like Docker and container orchestration platforms such as Kubernetes (K8s).
· Familiarity with cloud platforms like AWS, Azure, or GCP, and their respective data services is a plus.
· An understanding of CI/CD principles and workflows is beneficial.
· Knowledge of agile development practices and experience working in agile teams.
· Strong problem-solving and analytical skills, with the ability to learn quickly and apply new concepts.
· Effective communication skills to interact with team members and stakeholders.
· Very good English skills, both written and spoken. German is a plus.
Competitive compensation package
Flexible work hours and hybrid model
Attractive workspace
Employee health care and life insurance
Social benefits and several discounts
Trainings and professional career development
Ref: Level C
The Volkswagen Group with its headquarters in Wolfsburg is one of the world’s leading automobile manufacturers and the largest carmaker in Europe. The Group is made up of ten brands from seven European countries: Volkswagen, Volkswagen Nutzfahrzeuge, ŠKODA, SEAT, CUPRA, Audi, Lamborghini, Bentley, Porsche and Ducati.
Our group sells vehicles in 153 countries and operates 114 production plants worldwide. Each working day, around 675,000 employees worldwide produce cars, are involved in vehicle-related services or work in the other fields of business.
Our goal is to make mobility sustainable for us and for future generations. Our promise: With electric drive, digital networking and autonomous driving, we make the automobile clean, quiet, intelligent and safe. At the same time, our core product becomes even more emotional and offers a completely new driving experience. It is also becoming part of the solution when it comes to climate and environmental protection. In this way, the car can continue to be a cornerstone of contemporary, individual and affordable mobility in the future. #Shapingmobility
Imprint & Legal: http://vw.de/legal-notice
DAT: http://vw.de/dat
