Job
- Level
- Experienced
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Munich
- Working Model
- Onsite
Job Summary
In this role, you build data pipelines for automotive projects, develop ETL processes using Python and SQL, optimize data architectures, and ensure reliable data flows to support forward-looking vehicle systems.
Job Technologies
Your role in the team
- You lay the foundation upon which smart decisions are made: As a Data Engineer - Automotive (m/f/d), you build and maintain the data infrastructure that makes our automotive projects possible.
- You develop robust pipelines, ensure clean, reliable, and high-performance data flows, and thereby lay the foundation for analyses, models, and decisions for the next vehicle generation.
- In close collaboration with Data Analysts, Data Scientists, and our OEM partners, you design data architectures that grow with the requirements – from integrating new data sources to automating ETL processes and optimizing existing systems.
- In doing so, you always keep scalability, data quality, and performance in mind, thereby directly contributing to bringing innovative vehicle systems to series production more quickly and reliably.
- You analyze, model, and document task-related activities — from concept to report.
- You independently process data, perform preprocessing, and transform data into usable structures.
- You create technical documentation and formulate results in a way that they are immediately usable.
- You actively contribute to the further development of our analysis processes, documentation standards, and methods.
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Our expectations of you
Education
- Completed degree in Computer Science, Data Engineering, Business Informatics, Engineering, or a comparable qualification.
Qualifications
- You recognize patterns, test hypotheses, and understand data logic.
- You document analyses thoroughly and transparently, ensuring that results can be verified at any time.
- You communicate complex results clearly and understandably — for developers, auditors, and decision-makers.
- You work in a structured and punctual manner, ensuring with precision that insights are actionable.
- Strong understanding of data architecture, scalability, and data quality, combined with a solution-oriented and pragmatic approach to work.
- Very good German skills at C2 level as well as good English skills.
Experience
- Experience in building, operating, and automating data pipelines as well as ETL/ELT processes.
- Solid knowledge of Python and SQL, as well as experience with databases such as PostgreSQL or MongoDB, and cloud platforms such as Azure or AWS.
- Advantage: Experience with Big Data technologies and cloud-based data platforms, e.g., Apache Spark, Kafka, or Databricks, as well as knowledge in the automotive environment, vehicle systems, and vehicle data.
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What we offer
- Freedom in everyday life, responsibility for the outcome.
- We invest in people who deliver – with strong benefits and genuine development.
- Asset-building benefits & pension schemes for those shaping the future.
- Vegetarian meals in the V-Lounge - subsidized, healthy, efficient.
- Charge your electric car with your own PV power, use JobRad or our own car sharing - sustainability as a matter of course.
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Benefits
Work-Life-Integration
- 🏠Home Office
- 🅿️Employee Parking Space
- 🚌Excellent Traffic Connections
- 🍼Day Care for Kids
- ⏰Flexible Working Hours
Health, Fitness & Fun
More net
Food & Drink
Topics that you deal with on the job
Job Locations
This is your employer
VISPIRON SYSTEMS GmbH
VISPIRON is accompanying a number of world-renowned customers with 500 employees in highly sophisticated technology projects. We use our extensive technical knowledge in addition to developing our own product solutions. The consulting in technical, processual, and organizational work environment forms an integral part of this.
Description
- Company Size
- 50-249 Employees
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Industry, Production
Employer reviews
by devworkplaces.com
Total
(1 Review)3.3
Engineering
3.0Career Growth
3.2Culture
3.7Workingconditions
3.4
Data Engineer - Automotive
- Location
- Munich
- Working Model
- Onsite
- Diversity
- Open for all genders
