Senior Data Engineer

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🕒 April 1

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Volkswagen Group

WebsiteLinkedInAll Job Openings

10,000+ employees

🚗 Transport

Transport • Automotive • Manufacturing

Volkswagen Group is a globally recognized automotive manufacturer that offers a wide range of vehicles and services through various brands. The company is dedicated to innovation in electric mobility, research and development, and production processes. With positions available around the world across numerous sectors within the automotive industry, Volkswagen Group focuses on providing exceptional career opportunities in a dynamic work environment.

📋 Description

• 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.

🏖️ Benefits

• 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.