Junior AI & Data Engineer
At a glance
Junior Data Engineering role at Volkswagen. Lisboa.
Pay not stated Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Help create data pipelines that connect information technology and operational technology systems
- Use Python to prepare data for AI training, analysis and visualization
- Support SQL and NoSQL database upkeep, and improve how data is stored and retrieved
- Help package applications with Docker and Kubernetes, and automate software releases through CI/CD
- Check data quality, work through requirements with other teams, and take part in planning and code reviews
What you bring
- A degree in computer science, engineering or a related subject, or equivalent work experience
- Some exposure to software development, data engineering or AI through study, internships or an early role
- Familiarity with Python or similar languages, SQL and NoSQL databases, and Docker or Kubernetes
- Very good spoken and written English, plus problem-solving and analytical ability
Who this fits
This junior role suits someone building early experience in AI or data engineering who is ready to learn and contribute in an agile team. It is based in Lisbon and offers flexible hours with a hybrid work model.
From the employer
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
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