Time since we first saw it
Day 107
Up longer than most. Similar jobs usually come down between day 6 and day 69.
From 4,284 similar postings that came down. Coming down is not always a hire.
Junior AI & Data Engineer
Reads like a ML Engineer role: putting models into production.
Lisboa, PT, 1200-246
Open 3 months, first seen by us 107 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
Before you apply
- New graduates
- Entry level
Job title: Junior AI & Data Engineer (Lisboa, PT, 1200-246)
What you’ll work on
Full postingHelp design and develop data pipelines between IT and OT systems
Use Python to transform data for AI model training and analysis
Support SQL and NoSQL databases for storing and retrieving data
Help build containerized applications with Docker and Kubernetes
Support data validation and cleansing to keep data quality high
From the employer’s posting
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).
Participate in ensuring data quality and integrity by supporting data validation and cleansing processes.
Education & alternatives
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.
Tools in this posting
- Python
- SQL
- AWS
- Azure
- Docker
- GCP
- Kubernetes
- NoSQL
Source — Tool mentions in context
· 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.
· 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.
· 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).
· 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).
· 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.
· 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.
· 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.
Posting record
Report an errorOpen 3 monthsWe first saw this posting 107 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jul 20, 2026107 days ago
- Recorded sightings
- 984
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Volkswagen is hiring
9 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- ML Engineer hiring is picking up
- Takes jobs down at a usual pace
Your next step
Check the employer’s posting for the current role and application details.
Applying through SAP SuccessFactors
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Already applied? Track this application
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
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
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Lisboa, PT, 1200-246
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
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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