Data Architect

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 detect failures early • 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 and review peers' contributions • Uphold engineering standards across the team • Optimize pipeline performance for large-scale data processing, balancing throughput, latency, and cost • Collaborate 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, such as Kafka • Hands-on experience with NoSQL databases, such as 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 technical and non-technical stakeholders • Fluent English • Spanish and/or German proficiency is a plus

🏖️ Benefits

• Team performance semestral bonus included in salary bands • Fully remote work capability • Option to work from the office when needed • Access to professional development tools • Free language courses • Flexible working hours • Competitive holiday package • Employee discounts • Work-life balance philosophy • Continuous personal and professional development