Senior Data Engineer - Streaming Analytics (f/m/d)
Ingolstadt, DE, 85053
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingBuild 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
From the employer’s posting
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
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
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
What you’ll bring
All qualificationsCore experience
- 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
- 30 days paid + 10 days unpaid leave
- 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
Preferred experience
- Experience working with geospatial data, vehicle telemetry, or IoT-scale pipelines is a plus
Qualification wording
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
30 days paid + 10 days unpaid leave
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
Experience working with geospatial data, vehicle telemetry, or IoT-scale pipelines is a plus
Tools in this posting
- Kafka
- Kubernetes
- Spark
- Databricks
Source — Tool mentions in context
- 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
- 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)
Job description
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 CARIDIANS 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
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.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on jobs.volkswagen-group.com. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Ingolstadt, DE, 85053
NICE TO KNOW - Remote work options - Temporary work from abroad in selected countries
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Aug 12, 2026
- Recorded sightings
- 478
- Last seen by us
- Oct 8, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Report an errorSee how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.