Data Engineer Salary in Nuremberg (2026)
Data engineers in Nuremberg earn €50,000–€88,000 per year, with a median of €66,000. Data engineering in Nuremberg reflects the city's industrial DNA — while Berlin data engineers build pipelines for user analytics and ad tech, Nuremberg data engineers work with sensor data from factories, medical imaging data from hospitals, and financial transaction data from millions of businesses. Building the pipelines that power Siemens factories, Healthineers diagnostics, and DATEV's financial infrastructure is genuinely differentiated work.
Key Facts
- Data engineers earn €50K–€88K/year with median of €66K
- Industrial sensor data pipelines (Siemens factories) are a core challenge
- Medical data engineering (DICOM, HL7/FHIR, anonymization) is a premium niche
- DATEV data modernization is one of Europe's largest enterprise data projects
- Time-series databases and edge-to-cloud architecture are premium skills
Salary by Experience Level
- Junior (0–2 years): €42,000–€52,000
- Mid-level (3–5 years): €52,000–€70,000
- Senior (6+ years): €70,000–€88,000
Industrial Data at Scale
Siemens factories generate enormous volumes of sensor data — vibration, temperature, pressure, quality metrics — across thousands of production lines worldwide. Building reliable pipelines that ingest, process, and serve this data for predictive maintenance and digital twin models is a core engineering challenge. Skills in Apache Kafka, Spark, time-series databases (InfluxDB, TimescaleDB), and edge-to-cloud architectures are particularly valuable.
Medical Data Engineering
Siemens Healthineers needs pipelines for medical imaging data (DICOM format) and patient records under strict privacy regulations. Building anonymization pipelines, integrating HL7/FHIR health data standards, and maintaining GDPR-compliant data infrastructure is a niche skill set that commands premium pay and creates globally transferable expertise.
DATEV's Data Modernization
Decades of financial data from millions of German businesses need modern platforms (Snowflake, Databricks) built on top of legacy systems. Data engineers who can bridge legacy databases and modern cloud data stacks are highly valued at DATEV. The scale is significant — this is one of Europe's largest enterprise data modernization efforts.
In-Demand Data Engineering Skills
Apache Kafka and streaming data architectures top the list for Siemens. Cloud data platforms (Azure Synapse, AWS Redshift, Snowflake) are increasingly standard. ETL/ELT pipeline design at scale is core to senior roles. Time-series data expertise and edge-to-cloud architecture are Nuremberg's unique premium skills.
Top Hiring Companies
Career Advice
Master Kafka and streaming architectures — they're essential for Siemens's industrial data pipelines. Then build domain expertise in either industrial IoT data (sensor data, time-series) or medical data standards (DICOM, HL7/FHIR). Siemens offers the best pay and most complex pipeline challenges. DATEV provides massive-scale enterprise data modernization experience. Medical data engineering at Healthineers creates globally transferable compliance expertise that few other cities can offer.
Data Engineer Insights — Nuremberg
Data Engineer salaries in Nuremberg range from €50,000 to €88,000, a 58% spread that reflects significant variation based on experience level, specialization, and company size. The median of €66,000 sits below the midpoint, suggesting more positions cluster toward the entry-to-mid-level end of the range.
Nuremberg's cost of living index of 72/100 makes it one of the more expensive locations for tech professionals. While the €66,000 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 Nuremberg is anchored by employers like Siemens, DATEV, and Siemens Healthineers, 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 Nuremberg centers around expertise in Apache Kafka, Spark, Python, plus 2 other core competencies. Candidates with strong proficiency across these areas tend to command offers closer to the €88,000 ceiling, and have natural transition paths into roles like Senior Data Engineer or Data Scientist.
Related Roles in Nuremberg
Explore salary information for similar positions and compare compensation across different roles.
| Role | Location | Salary Range | Median |
|---|---|---|---|
| Senior Data Engineer | Nuremberg | €70,000 - €98,000 | €82,000 |
| Senior Data Scientist | Nuremberg | €75,000 - €100,000 | €85,000 |
| Data Scientist | Nuremberg | €52,000 - €90,000 | €68,000 |
| ML Engineer | Nuremberg | €58,000 - €100,000 | €76,000 |
| Product Manager | Nuremberg | €50,000 - €95,000 | €70,000 |
| Full Stack Developer |
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Frequently Asked Questions
What is the average data engineer salary in Nuremberg?
Data engineers earn €50,000–€88,000/year with a median of €66,000. Junior roles start at €42,000–€52,000, mid-level pays €52,000–€70,000, and senior data engineers at Siemens, DATEV, or Healthineers earn €70,000–€88,000.
What tools do data engineers use in Nuremberg companies?
Core stack: Apache Kafka (streaming for industrial data), Spark (batch processing), SQL and Python (universal), cloud data platforms (Azure Synapse at Siemens, Snowflake/Databricks at DATEV). Siemens uses IoT-specific tools (time-series databases, edge processing). Healthineers requires DICOM and HL7/FHIR integration. Adidas uses modern data stacks (dbt, Airflow, BigQuery).
How does data engineering in manufacturing differ from other industries?
Manufacturing data engineering deals with continuous sensor streams, time-series processing at high volume, edge-to-cloud data flows, and integration with physical systems (PLCs, SCADA). Latency requirements are stricter — delayed data can mean missed quality issues on a production line. The domain knowledge (understanding what sensor readings mean in manufacturing context) is a genuine differentiator.
Is Nuremberg or Berlin better for data engineering careers?
Berlin has far more data engineering roles (3–5x) and higher nominal pay (median €74K vs Nuremberg's €66K). Nuremberg offers deeper specialization in industrial and medical data engineering, corporate stability (Siemens, DATEV), and 30% lower cost of living than Munich. For differentiated domain expertise with excellent purchasing power, Nuremberg wins. For market breadth and more diverse opportunities, Berlin wins.
What growth is expected in Nuremberg data engineering?
Strong growth from three sources: Siemens Xcelerator platform creating new data product roles, DATEV cloud migration driving demand for cloud data engineers, and Siemens Healthineers expanding AI diagnostics (requires robust data infrastructure). Industry 4.0 and digital twin adoption continues to increase data volumes and pipeline complexity across the manufacturing sector.
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