Senior Data Engineer – Streaming Analytics

Job not on LinkedIn

🕒 July 22

🇩🇪 Germany – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 18%

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

• Architect and operate large-scale ETL, streaming, and distributed data pipelines for vehicle telemetry and sensor data • Build scalable, cost-efficient, high-throughput pipelines for analytical, streaming, and AI workloads • Evaluate, introduce, and integrate new data technologies to improve scalability, performance, and observability • Mentor engineers, provide technical guidance, and foster best practices in software and system design • Drive ambiguous technical problems toward clarity and deliver practical, scalable solutions • Collaborate closely with cross-functional teams to ensure reliable, efficient data infrastructure

🎯 Requirements

• M.S. in Data Engineering, Computer Science, or a related field • 10+ years of experience in distributed data architectures • Experience designing and operating large-scale data systems using Spark or Databricks • Hands-on experience with Kubernetes and Kafka • Experience with Kafka Streams, Spark Streaming, or Apache Flink • Experience with event-driven architectures and data streaming • Deep understanding of streaming and batch data processing paradigms, including data ingestion from edge devices • Experience with geospatial data, vehicle telemetry, or IoT-scale pipelines is a plus • Strong communication skills and ability to influence through clear technical reasoning and collaboration • Ability to work independently, self-direct, and lead projects without close supervision • Fluent English, spoken and written • Basic German skills

🏖️ Benefits

• Remote work options • Temporary work from abroad in selected countries • Flextime / optional working hours • Company pension plan • Annual professional development • Sabbatical option up to 6 months • 30 days paid + 10 days unpaid leave • Possibility for VW Group car leasing