Junior AI & Data Engineer

Innovation & Engineering HUB; Lisboa; Híbrido; EUR 18 137 - 27 577; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Competitive compensation package

Hybrid work hours

Health care and life insurance

Social benefits and discounts

Training and career development

Resumo da oferta

Volkswagen Group Services, Lisbon, is hiring a Junior AI & Data Engineer to join the Smart Cloud Factory team. The role focuses on building data processing pipelines, leveraging Python for AI model work, and managing data systems across SQL/NoSQL databases, Docker, and Kubernetes within a hybrid work model in Lisbon.

The team aims to transform manufacturing with real-time data, AI, and cloud-enabled solutions, enabling predictive maintenance and quality control.

Qualificações

• Bachelor's degree or equivalent experience in computer science or engineering.
• Experience in Software Development, Data Engineering, or AI-related fields.
• Familiarity with Python and data engineering tasks.
• Basic understanding of SQL and NoSQL databases for storage and retrieval.
• Exposure to containerization (Docker) and orchestration (Kubernetes).
• Familiarity with cloud platforms like AWS, Azure, or GCP is a plus.
• Knowledge of CI/CD principles and agile practices.
• Strong problem-solving and communication skills.
• Excellent English skills; German a plus.

Responsabilidades

• Assist in designing and developing data processing pipelines between IT and OT systems.
• Use Python to manipulate, transform, and analyze data for AI model training and visualization.
• Support management of SQL and NoSQL databases for data storage and retrieval.
• Help build and manage containerized applications with Docker and Kubernetes.
• Collaborate with cross-functional teams to understand data requirements and design data engineering solutions.
• Participate in data quality and validation activities to ensure integrity.
• Contribute to implementing CI/CD practices to automate software delivery.
• Engage in agile sprint planning and code reviews.
• Stay updated with emerging AI, data engineering, cloud, and DevOps practices.
• Knowledge of machine learning frameworks.

Conhecimentos

Python

Data engineering

SQL

NoSQL

Docker

Kubernetes

CI/CD

Cloud platforms

Agile

English

Formação académica

Bachelor's degree in Computer Science or related field

Ferramentas

Docker

Kubernetes

CI/CD tools

SQL

Descrição da oferta de emprego

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
• Employee health care and life insurance
• Social benefits and several discounts
• Trainings and professional career development