Senior Data Engineer - Streaming Analytics (f/m/d)

Volkswagen Group

Ingolstadt

Hybrid

EUR 120.000 - 170.000

Vollzeit

Vor 7 Tagen
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Remote work options
Company pension plan
Sabbatical option

Zusammenfassung

CARIAD, the automotive software subsidiary of the Volkswagen Group, is building a central data platform for vehicle intelligence across brands and RTV. We design scalable data pipelines and analytics to support data-driven development of software-defined vehicles.

Join a cross-brand team delivering fleet-scale telemetry and AI-enabled data services, with remote options and opportunities for professional development. Fluency in English and basic German are required.

Qualifikationen

  • M.S. in Data Engineering, Computer Science or a related field.
  • 10+ years of experience in distributed data architectures.
  • Hands-on experience with Spark or Databricks for large-scale data systems.
  • Proven experience with Kubernetes and Kafka and stream processing frameworks.
  • Experience with geospatial data, vehicle telemetry, or IoT-scale pipelines is a plus.
  • Fluent English (spoken and written) and basic German skills.

Aufgaben

  • Architect and operate large-scale ETL, streaming, and distributed data pipelines for vehicle telemetry and sensor data.
  • Build scalable, cost-efficient pipelines for analytical, streaming and AI workloads.
  • Evaluate and integrate new data technologies to improve scalability, performance, and observability.
  • Mentor engineers and promote best practices in software and system design.
  • Lead cross-functional collaboration to ensure reliable data infrastructure.
  • Drive ambiguous technical problems toward practical, scalable solutions.

Kenntnisse

Spark/Databricks
Kubernetes
Kafka
Streaming data processing
English communication

Ausbildung

M.S. in Data Engineering / Computer Science

Tools

Kubernetes
Kafka
Spark/Databricks

Jobbeschreibung

We are CARIAD, the automotive software company of the Volkswagen Group. Our teams build automotive software platforms and digital customer functions for iconic brands like Audi, Volkswagen, and Porsche - supporting the Volkswagen Group in becoming the leading automotive technology company. With CARIAD insiders in Germany, the USA, China, Estonia, and India, we are transforming automotive mobility for everyone.

Join us and be part of this exciting journey!

YOUR TEAM

We are building the central data platform for vehicle intelligence across CARIAD and all Volkswagen Group brands and Rivian Volkswagen Technologies (RTV). Our platform enables large-scale data collection, management, secure provisioning, and Data- and AI-driven analytics to support advanced data-driven development. We work cross-brand and provide unified data products, a consistent legal and compliance framework, and a shared technology strategy. Our engineering teams develop scalable systems for fleet-scale telemetry and machine-learning applications, driving performance, safety, and sustainability of software-defined vehicles. We are now expanding into intelligent data service, streaming analytics and AI Agents. Join us to shape the future of automotive AI together.

What You Will Do
  • 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
Who You Are
  • Hold an M.S. in Data Engineering, Computer Science or a related field
  • Bring 10+ years of experience in distributed data architectures, especially designing and operating large-scale data systems using Spark or Databricks
  • Proven hands-on experience with Kubernetes and Kafka and stream processing frameworks (Kafka Streams, Spark Streaming, Apache Flink)
  • You have experience with event-driven architectures and data streaming and a deep understanding of streaming and batch data processing paradigms, including data ingestion from edge devices
  • Experience working with geospatial data, vehicle telemetry, or IoT-scale pipelines is a plus
  • Strong communication skills and the ability to influence through clear technical reasoning and collaboration
  • Demonstrated ability to work independently, self-direct, and lead projects without close supervision
  • Fluent English (spoken and written) and basic German skills are required
NICE TO KNOW
  • 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
  • If you have further questions about the candidate journey at CARIAD, please contact us: careers@cariad.technology

At CARIAD, we embrace individuality and diversity because we believe our differences make us stronger. We actively seek to build teams with a variety of backgrounds, perspectives, and experiences. Our goal is to create an environment where everyone feels valued and empowered to contribute.

If you need assistance with your application due to a disability, please reach out to us at careers@cariad.technology - we are happy to support you.

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