Data Engineer Salary in Stuttgart (2026)
Data engineers in Stuttgart earn €55,000–€98,000 per year, with a median of €70,000. Data engineering is a rapidly growing function in Stuttgart, driven by the automotive industry's push toward data-driven decision-making, connected vehicles, and smart factories. Connected vehicles generate terabytes of data daily, and Bosch's Industry 4.0 operations produce massive manufacturing datasets — turning this into reliable, compliant data pipelines is a massive engineering challenge.
Key Facts
- Data engineers earn €55K–€98K/year with median of €70K
- Connected vehicle data engineering is the fastest-growing specialty
- Apache Spark and Kafka are critical for vehicle telemetry processing
- Bosch's Industry 4.0 creates massive demand for manufacturing data engineers
- Edge-to-cloud data pipeline architecture is a premium skill
Salary by Experience Level
- Junior (0–2 years): €45,000–€55,000
- Mid-level (3–5 years): €58,000–€76,000
- Senior (6+ years): €72,000–€98,000
Stuttgart's Data Engineering Identity
Mercedes-Benz's connected car platform processes vehicle telemetry from millions of cars worldwide. Bosch's smart factory initiatives generate massive sensor and production data streams. Porsche's digital services platform collects driving analytics and customer data. Every one of these systems needs modern data engineering to function at scale.
Premium-Commanding Skills
Apache Spark and Kafka for streaming (critical for vehicle telemetry), Databricks and Snowflake (increasingly adopted by OEMs), data governance and GDPR compliance for vehicle data, and edge-to-cloud data pipeline architecture. Engineers who combine these with automotive data models — vehicle telemetry schemas, production metrics, sensor data formats — are hardest to fill.
The Connected Vehicle Data Opportunity
The biggest growth area is connected vehicle data engineering — building pipelines that ingest, process, and serve data from millions of vehicles in real time. This requires understanding of edge computing, time-series databases, and automotive data standards. Engineers in this niche earn at the top of the range.
Top Hiring Companies
Career Advice
Master Spark and Kafka first — they're essential for Stuttgart's streaming-heavy data needs. Then build expertise in edge-to-cloud data architectures, which are unique to automotive. Understanding vehicle telemetry data models and GDPR compliance for connected car data will differentiate you. Databricks and Snowflake certifications are increasingly valued at OEMs.
Data Engineer Insights — Stuttgart
Data Engineer salaries in Stuttgart range from €55,000 to €98,000, a 61% spread that reflects significant variation based on experience level, specialization, and company size. The median of €70,000 sits below the midpoint, suggesting more positions cluster toward the entry-to-mid-level end of the range.
Stuttgart's cost of living index of 82/100 makes it one of the more expensive locations for tech professionals. While the €70,000 median is competitive, housing and daily expenses consume a larger share of income compared to lower-cost cities.
The hiring landscape for data engineer in Stuttgart is anchored by employers like Mercedes-Benz, Bosch, and Porsche, along with 2 other notable employers. Larger employers in this market typically offer compensation at the upper end of the range, often supplemented with equity, signing bonuses, and comprehensive benefits.
Demand for data engineer in Stuttgart centers around expertise in Apache Spark, Kafka, Python, plus 2 other core competencies. Candidates with strong proficiency across these areas tend to command offers closer to the €98,000 ceiling, and have natural transition paths into roles like Senior Data Engineer or Data Scientist.
Related Roles in Stuttgart
Explore salary information for similar positions and compare compensation across different roles.
| Role | Location | Salary Range | Median |
|---|---|---|---|
| Senior Data Scientist | Stuttgart | €78,000 - €120,000 | €88,000 |
| Senior Data Engineer | Stuttgart | €72,000 - €110,000 | €84,000 |
| Data Scientist | Stuttgart | €60,000 - €110,000 | €75,000 |
| Senior Product Manager | Stuttgart | €82,000 - €125,000 | €95,000 |
| Senior Software Engineer | Stuttgart | €80,000 - €125,000 | €92,000 |
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Frequently Asked Questions
What is the average data engineer salary in Stuttgart?
Data engineers earn €55,000–€98,000/year with a median of €70,000. Junior roles start at €45,000–€55,000, mid-level pays €58,000–€76,000, and senior data engineers with automotive domain knowledge earn €72,000–€98,000.
What tools do data engineers use at Stuttgart OEMs?
Core stack: Apache Spark (batch processing), Kafka (streaming), Python (orchestration, transformation), SQL (universal), and increasingly Databricks/Snowflake for analytics. Azure Data Factory and AWS Glue in multi-cloud environments. Edge processing tools for vehicle data. dbt for transformations. Data governance tools are increasingly important for GDPR compliance.
How does data engineering in automotive differ from other industries?
Automotive data engineering involves edge-to-cloud architectures (vehicle → cloud), massive time-series sensor data, real-time streaming at scale, GDPR and automotive data regulations, and complex data models (vehicle telemetry, production metrics, sensor fusion data). Latency requirements for connected car services are strict. The hybrid edge-cloud nature adds unique architectural complexity.
Is Stuttgart or Berlin better for data engineering careers?
Stuttgart offers deeper specialization in automotive and manufacturing data with comparable pay. Berlin has more diverse data engineering roles (e-commerce, adtech, SaaS) and a larger English-speaking market. Stuttgart is ideal for edge-to-cloud data architecture specialization; Berlin for breadth and startup culture.
What certifications help data engineers in Stuttgart?
Databricks Certified Data Engineer, Snowflake SnowPro, AWS Data Analytics Specialty, and Confluent Kafka certifications are all valued. Azure certifications are also relevant given OEM usage of Azure IoT. Domain knowledge in automotive data standards and GDPR compliance for vehicle data adds significant career value.
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