• Build and maintain both web and mobile versions of the platform • Set up the backend, APIs, and database architecture for performance and scale • Translate UI designs into responsive, high-quality builds • Integrate with third-party tools and external data sources • Handle deployment, testing, and performance optimization

• Build and maintain both web and mobile versions of the platform • Set up the backend, APIs, and database architecture for performance and scale • Translate UI designs into responsive, high-quality builds • Integrate with third-party tools and external data sources • Handle deployment, testing, and performance optimization

• Design, develop, and maintain scalable data pipelines using GCP ETL tools like Cloud Dataflow, Dataprep, or Dataproc • Collaborate with cross-functional teams to understand data requirements and implement solutions using GCP services to support data-driven initiatives • Optimize data models and architecture for performance and reliability within GCP • Build and maintain data warehouses, data lakes, and other data storage solutions on Google Cloud Platform • Ensure data quality, integrity, and security across various datasets within GCP • Identify and resolve performance bottlenecks in data infrastructure specifically related to GCP ETL tools • Work closely with data scientists, analysts, and other stakeholders to support their data needs within the GCP ecosystem • Stay updated with the latest GCP technologies and trends in data engineering and implement best practices

Volkswagen Group Services is excited to present a fantastic opportunity to join our Volkswagen Digital:Hub in Spain. As part of the global Software Development Centre network in the Volkswagen Group, we constantly seek talented individuals ready to bring their unique skills to our projects. Our start-up environment is collaborative, innovative, and open to new ideas. We strive to cultivate a work culture that encourages individual growth, team empowerment, and project excellence. We value respect, teamwork, and the common purpose that binds us as a group. If you're ready to thrive in a dynamic start-up environment and be part of our family, supported by one of the largest companies in the world, we invite you to read further. About the Team and the Hub: - Our culture is centered around fostering individual growth and team empowerment within a flexible and supportive environment. - We prioritize respect, teamwork, and inclusivity, recognizing and valuing the unique contributions of each member. - We embrace a work-life balance philosophy and encourage continuous personal and professional development Responsibilities: Designing and Building Data Pipelines - Design, build, and maintain scalable data pipelines that ingest data from external systems, transform it, and load it into noSQL databases. - Define and evolve transformation logic to ensure data quality, consistency, and schema alignment across heterogeneous source systems. - Analyze and understand external system interfaces to inform integration design and anticipate upstream changes. Data Modeling and Design - Design and maintain document-oriented data models, ensuring they support current and future business requirements. - Create and maintain data model visualizations to support cross-team alignment and architectural documentation. Ensuring Data Quality and Reliability - Implement validation, monitoring, and alerting across the pipeline to ensure data integrity and early detection of failures. - Establish and enforce data governance practices, including handling of sensitive data in line with compliance requirements. - Design and maintain strategies for anonymizing production data and synthesizing test data to enable safe, realistic testing environments. Driving Technical Quality - Write clean, well-tested, and maintainable code; review peers' contributions and uphold engineering standards across the team. - Optimize pipeline performance for large-scale data processing, balancing throughput, latency, and cost. Collaborating within the ART - Work closely with product management and engineering teams to translate business requirements into data pipeline solutions. - Contribute to architectural discussions and technical decision-making within the Agile teams. - Mentor junior team members and help improve development workflows and practices. Requirements: - Degree in Computer Science, Data Engineering, or equivalent experience. - 5+ years' experience in data engineering, with a focus on streaming and batch data pipelines. - Strong proficiency in Python and/or Kotlin/Java. - Hands-on experience with streaming (e.g. Kafka) and NoSQL databases (e.g. MongoDB or DocumentDB). - Experience with AWS cloud services - including Lambda, GlueJobs, Eventbridge, S3 and CDK. - Solid understanding of data modeling for document-oriented databases. - Familiarity with CI/CD pipelines and DevOps practices in a cloud-native environment. - Experience working in Agile/SAFe environments is a plus. - Strong communicator, comfortable working with both technical and non-technical stakeholders. - Fluent English; Spanish and/or German proficiency is a plus. What we offer: - Fully remote work capability, with an option to work from our office when needed. - Access to professional development tools and free language courses. - Flexible working hours to accommodate personal and professional needs. - A competitive holiday package and access to a variety of employee discounts. Join us at Volkswagen Digital:Hub to advance your career in a role where your administrative skills will directly contribute to the success and smooth operation of our innovative projects. For more information on our data processing activities and your rights as a data subject, please consult our privacy policy. Ref: Level C