Data Engineer

• Design and maintain scalable data pipelines from external systems.
• Implement validation and monitoring across data pipelines.
• Collaborate with teams to translate business needs into data solutions.

Conocimientos

Data engineering Python Kotlin/Java Streaming data pipelines NoSQL databases AWS cloud services Data modeling CI/CD and DevOps Agile methodologies Communication, Kafka MongoDB AWS Lambda AWS Glue AWS S3 AWS EventBridge AWS CDK Descripción del empleo

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.

A leading automotive services company is seeking a Data Engineer to design and build scalable data pipelines as part of their innovative team in Valencia, Spain. The role demands strong skills in Python and experience with NoSQL databases and AWS cloud services. This full-time position offers flexible remote working options along with access to professional development and employee discounts. Ideal candidates should have 5+ years in data engineering and be comfortable collaborating with diverse teams., * 5+ years' experience in data engineering focused on data pipelines.

• Strong proficiency in Python and/or Kotlin/Java.
• Fluent in English; Spanish or German is a plus., Degree in Computer Science or Data Engineering, * 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, Glue Jobs, 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.

• 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. About the job

We want to re-think and re-shape mobility: to make it electric, digital, intelligent and sustainable.
Our Software Development Center & Labs are part of the Group's strategy to meet the challenges of digital transformation representing a new form of agile cooperation. Located across Germany and around the world - we develop IT solutions that permanently improve people’s lives using state-of-the-art technologies to connect millions of people around the globe. Specifically we are looking for UX Designer, Product Managers and Software Engineers that can help us to shape the future of mobility.