Junior AI & Data Engineer
Annual gross salary range: Min. 18,137€ - Max. 27,577€ (depending on experience)
Who are we?
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.
What we do in our team?
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.
What will your responsibilities be?
· 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
What requirements are we looking for?
· 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.
What we can offer
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
Lisboa, PT, 1200-246
Junior AI & Data Engineer
Annual gross salary range: Min. 18,137€ - Max. 27,577€ (depending on experience)
Who are we?
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.
What we do in our team?
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.
What will your responsibilities be?
· 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
What requirements are we looking for?
· 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.
What we can offer
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
Lisboa, PT, 1200-246
Lisboa, PT, 1200-246