Data Engineer

Job not on LinkedIn

🕒 July 26

🇪🇸 Spain – Remote

💵 €45k - €75k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Volkswagen Group

WebsiteLinkedInAll Job Openings

10,000+ employees

🚗 Transport

🚘 Automotive

🏭 Manufacturing

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

• 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 external system interfaces to inform integration design and anticipate upstream changes. • Design and maintain document-oriented data models supporting current and future business requirements. • Create and maintain data model visualizations for cross-team alignment and architectural documentation. • Implement validation, monitoring, and alerting across pipelines to ensure data integrity and early failure detection. • Establish and enforce data governance practices, including sensitive-data handling in line with compliance requirements. • Design and maintain strategies for anonymizing production data and synthesizing test data. • Write clean, well-tested, maintainable code; review peers' contributions and uphold engineering standards. • Optimize pipeline performance for large-scale data processing, balancing throughput, latency, and cost. • Work with product management and engineering teams to translate business requirements into data pipeline solutions. • Contribute to architectural discussions and technical decision-making within Agile teams. • Mentor junior team members and 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. • Strong communicator, comfortable working with both technical and non-technical stakeholders. • Fluent English. • Spanish and/or German proficiency is a plus. • Experience working in Agile/SAFe environments 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. • Access to a variety of employee discounts. • Team performance semestral bonus included in the salary bands.