Machine Learning Engineer

Volkswagen Group

Designing and building scalable data pipelines for ML and GenAI use cases at VW Group Digital Solutions. Collaborating with teams to ensure data quality and performance metrics.

Posted 7/1/2026full-timeLisbon • 🇵🇹 PortugalMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AWSCloudDockerDynamoDBETLPySparkPythonSpark

About the role

Key responsibilities & impact

Designing, building, and maintaining scalable data pipelines and ETL/ELT workflows supporting ML and GenAI use cases using Python, and AWS services.
Building analytics tools that use the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
Managing data ingestion, orchestration, transformation, quality, and curation at scale.
Implementing and maintaining systems via event-driven architectures and APIs.
Collaborating closely with Data Scientists, product teams, and business stakeholders to translate data needs into robust solutions.
Ensuring high engineering standards: unit testing, mocking, CI/CD, code quality, repository structure, environment setup.
Providing technical guidance, code reviews, and mentoring to team members.

Requirements

What you’ll need

Bachelor's degree in computer science, software engineering, or comparable work experience
Proficiency in Python, including automation, scripting, and data engineering frameworks
Experience in ML/GenAI projects
Strong experience with AWS, particularly: S3, Lambda, Step Functions, SQS/SNS, EventBridge, CloudWatch, IAM, DynamoDB, batch processing (Glue Jobs/Workflows, Batch). Other cloud providers are also welcomed
Hands-on experience with Infrastructure as Code (preferably AWS CDK)
Strong experience with Spark/PySpark or similar distributed processing frameworks
Proficiency with Git, repo structure management, Docker, testing (unit tests, mocking, isolation)
Practical knowledge of CI/CD pipelines (GitLab/GitHub Actions/CircleCI)
Experience building scalable, production-grade data pipelines
Great English skills, both written and spoken.

Benefits

Comp & perks

1200€ to equip your home office
Flex allowance: 720€/year (60€ per month x12)
Performance bonus
Health insurance extendable to your household
Wellbeing program extendable to your household
Life insurance
Pension fund
Smartphone & phone data plan
Discounts on VW Group cars and special financing conditions

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Data Pipeline DevelopmentETL/ELT WorkflowsUnit TestingCI/CD PipelinesData Engineering FrameworksAutomation ScriptingCode Quality AssuranceBatch ProcessingEvent-Driven ArchitectureData Orchestration

Soft Skills

CollaborationMentoringTechnical GuidanceCommunication