DATA ENGINEERING & AI
Data your AI can actually run on.
I build the data pipelines and platforms that make AI work reliably for small and mid-sized companies — instead of failing on bad data.
Free intro call · reply within 24 h
- Knows the machine and the cloud
- data engineer in the automotive industry
- AI with EU data residency
ABOUT
Foundation first, then the AI.
I'm Eugen Schmidt — from mechatronics technician and maintenance engineer to data engineer. I know the machine as well as the cloud, and I build the data foundation that AI reliably runs on.
Today I work at one of the world's largest automotive groups in Bremen — on data pipelines, platforms and AI integration, pragmatic and measurable.
In industrial production since 2008, a data engineer since 2021.
Available freelance for selected projects — project-based, with clearly agreed response times and cleanly separated from my employment.
Based in Bremen — working remotely with companies across Germany.
MY TOOLKIT
Data Engineering
- Databricks
- PySpark
- Delta Lake
- Unity Catalog
Industrial IoT
- Siemens S7
- MQTT
- Node-RED
- Event Hub
AI & RAG
- Vector Search
- RAG
- LangGraph
- LLM-Serving
Full-stack
- FastAPI
- React
- Recharts
- Power BI
Operations
- Docker
- Hetzner
- CI/CD
SERVICES
From data pipeline to AI in production.
Five building blocks — from one hand instead of spread across three vendors, where most AI projects break at the seams.
AI & Machine Learning
Evaluate, integrate and operate LLMs and ML models — from first idea to live operation.
Data Engineering
Robust pipelines, data warehouses and ETL flows that scale cleanly and don't break.
Data Platform & Infrastructure
Scalable, AI-ready data infrastructure — from the data source to the finished dataset for the model.
Analytics & Reporting
Clear production KPIs and reports the team actually reads.
Dashboards & Visualization
Dashboards that make machine and process data understandable in seconds.
AI MADE IN THE EU
Compliant AI you can actually run.
Especially for small and mid-sized companies, data protection isn't a nice-to-have — it's the prerequisite. So I build AI to be compliant from the start.
EU data residency
Data and models run in EU data centers — no transfer to US clouds, no third-country risk.
On-prem & open source
Where your data demands it, open models run self-hosted in your own network — nothing leaves the building.
GDPR & EU AI Act by design
A data processing agreement, a risk orientation along the EU AI Act's classes and documentation are part of the delivery.
In plain terms: your machine data never leaves your house — and the compliance paperwork comes with it.
SELECTED WORK
From the factory floor, not a slide deck.
Anonymized glimpses from my work as a data engineer in the automotive industry — I set up the same kind of system project-based at small scale too: one server, one machine, a clearly scoped data check.
Manufacturing industry
1M+
machine signals processed per month in real time
Real-time monitoring from sensor to cloud
PLC and sensor data streamed over MQTT into a cloud platform and analyzed in real time — with early warning before a process stops.
Planned maintenance instead of firefighting — downtime becomes avoidable.
- Siemens S7
- MQTT
- Databricks
Maintenance
Seconds
to an answer instead of searching manuals
AI assistant for machines & manuals
A RAG assistant answers fault and error questions straight from manuals and live machine data — fully GDPR-compliant and on-prem.
The shift finds faults itself, without waiting for an expert.
- RAG
- Vector Search
- on-prem LLM
Data platform
10×
faster onboarding of a new machine (weeks → hours)
One architecture, many machines
The monitoring platform as a reusable blueprint — a new machine or technology goes live in hours instead of weeks.
Every new machine is connected faster and cheaper.
- Databricks
- PySpark
- FastAPI
Self-service analytics
0 SQL
answers in plain language, in the tool they already use
Query production data in plain language
Teams ask for their KPIs right in Power BI in plain language — an LLM turns the question into the right query.
Answers without waiting on the BI team.
- Power BI
- Databricks
- LLM-Serving
From architecture to end-to-end delivery, with the teams on site — anonymized for confidentiality.
Sounds like your situation? Let's talkHOW I WORK
In four clear steps.
Intro call
Free and no strings attached: we clarify goals, your data situation and whether AI is even worth it for you.
Analysis & proposal
I review the status quo and propose a concrete, prioritized plan.
Delivery in stages
Shipped in short iterations — visible progress instead of a black box.
Handover & docs
A clean handover with documentation, so your team can take it from there — and I can keep supporting operations afterwards if you want.
Typical start: a clearly scoped data check or pilot, often within a few weeks — then we decide together how to proceed.
Request the intro callCONTACT
Let's talk about your data.
Tell me briefly about your project — I'll get back to you within 24 hours.
Free, no obligation · reply within 24 h · start with a clearly scoped data check.