Data Engineer – Automotive

Jobtailor; München; Vor Ort; EUR 70.000 - 110.000; Vollzeit

Zusammenfassung

Jobtailor in Munich, Germany seeks a Data Engineer – Automotive to build and maintain the data infrastructure enabling advanced vehicle projects. You will create robust data pipelines, ensure data quality, and collaborate with analysts, data scientists and OEM partners to design scalable architectures.

The role emphasizes Python/SQL proficiency, cloud experience (Azure/AWS) and a strong foundation in data modeling, with German and English communication skills.

Qualifikationen

• Experience in building, operating and automating data pipelines and ETL/ELT processes.
• Strong Python and SQL, with PostgreSQL or MongoDB experience.
• Familiar with cloud platforms like Azure or AWS.
• Knowledge of big-data tech and automotive domain preferred.
• Excellent German level (C2) and good English.

Aufgaben

• Lay the foundation for data-driven decisions by building and maintaining data infrastructure.
• Develop robust pipelines for clean, reliable, high-performance data flows.
• Design scalable data architectures with analysts, scientists and OEM partners.
• Focus on scalability, data quality and performance to bring vehicle systems to production.
• Model and document project-specific tasks from concept to report.
• Process data, perform preprocessing, and transform data into usable structures.
• Create technical documentation and present actionable results.
• Contribute to improving analysis processes and documentation standards.

Kenntnisse

Python Programming

SQL Proficiency

Data Engineering

Ausbildung

Degree in Computer Science / Data Engineering / Business Informatics

Tools

PostgreSQL

MongoDB

Azure

AWS

Apache Spark

Kafka

Databricks

Jobbeschreibung

Responsibilities

• You lay the foundation for smart decisions: 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, creating the foundation on which analyses, models and decisions for the next generation of vehicles are built.
• In close collaboration with data analysts, data scientists and our OEM partners, you design data architectures that scale with requirements — from connecting new data sources and automating ETL processes to optimizing existing systems.
• You keep scalability, data quality and performance in focus, thereby directly contributing to bringing advanced vehicle systems to production faster and more reliably.
• You analyze, model and document project‑specific tasks — from concept to report.
• You process data independently, perform preprocessing and transform data into usable structures.
• You create technical documentation and present results so they are immediately actionable.
• You actively contribute to the further development of our analysis processes, documentation standards and methods.

Requirements

• Degree in Computer Science, Data Engineering, Business Informatics, Engineering or a comparable qualification.
• Experience in building, operating and automating data pipelines as well as ETL/ELT processes.
• Strong knowledge of Python and SQL, and experience with databases such as PostgreSQL or MongoDB, and cloud platforms like Azure or AWS.
• Preferred: Experience with big-data technologies and cloud-based data platforms such as Apache Spark, Kafka or Databricks, and knowledge of the automotive domain, vehicle systems and vehicle data.
• Strong understanding of data architecture, scalability and data quality, combined with a solution-oriented and pragmatic approach.
• Excellent German skills at C2 level and good command of English.

Core Competencies

Demonstrates expertise in building and maintaining data infrastructure, focusing on data pipelines, ETL processes, and data architecture to support automotive projects. Proficient in Python, SQL, and cloud platforms, with strong analytical skills and the ability to document and present actionable insights.

Highest-signal resume keywords

• Data Pipeline Development
• ETL/ELT Process Automation
• Python Programming
• SQL Proficiency
• Data Architecture Design

ATS Optimization Keywords

Hard Skills

• Data Engineering
• Data Processing
• Data Modeling
• Data Quality Assurance
• Scalability Optimization
• Technical Documentation
• Data Transformation

Soft Skills

• Solution-Oriented Approach
• Collaboration
• Communication

Industry Keywords

• Automotive Domain
• Vehicle Systems
• Vehicle Data

Tools & Technologies

• PostgreSQL
• MongoDB
• Azure
• AWS
• Apache Spark
• Kafka
• Databricks