The Role
Design and maintain scalable data pipelines and ETL/ELT workflows for ML and GenAI, collaborate with teams, and ensure high engineering standards.
Summary Generated by Built In
You’ll be focused in
• 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.
In order to succeed, 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
• 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.
• 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.
Nice to have
• Experience with streaming systems (Kafka, Kinesis)
• Experience with dashboards or visualization tools (Quicksight, Streamlit, Dash)
• Experience with dashboards or visualization tools (Quicksight, Streamlit, Dash)
Company benefits
• 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
Cool things you’ll experience in our work environment
• Tailored remote-friendly setup for every team's vibe!
• Flexible working hours
• Multicultural reality with + 30 different nationalities
• Pet friendly environment
• Boost your career with our internal mobility program, focused on your personal & professional growth
• Mix and mingle across teams for idea-sharing and bonding
About VW Group Digital Solutions [Portugal]
Technology-driven trends such as diverse mobility, electrification and connectivity will revolutionize the mobility industry in the next decade. Volkswagen Group, as world leader in the automotive industry, is setting the pace for this revolution.
At Volkswagen Group Digital Solutions [Portugal] we are the go-to team to tackle complex systems and programming challenges. We make sure that our products flow smoothly in all stages of the digital value chain.
Our main areas of focus: vehicle software & operations, mobile online services, IT security, fleet management, sales & after sales, purchasing & logistics and product portfolio management.
Ready to #ExploreNewRoads? Join us! 🚗
Skills Required
- Bachelor's degree in computer science, software engineering, or comparable work experience
- Proficiency in Python, including automation, scripting, and data engineering frameworks
- Strong experience with AWS, particularly S3, Lambda, Step Functions, and others
- Experience in ML/GenAI projects
- Hands-on experience with Infrastructure as Code (preferably AWS CDK)
- Strong experience with Spark/PySpark or similar frameworks
- Proficiency with Git, repo structure management, Docker, testing
- Practical knowledge of CI/CD pipelines
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The Company
What We Do
Volkswagen Group Digital Solutions supports the Volkswagen Group's IT needs along the entire digital value chain, driving digital transformation, software, and innovation within the automotive ecosystem.
