Senior Data/AI Architect (Cloud, Python, ML, Optimization, Analytics)
Aktualisiert am 02.02.2026
Profil
Freiberufler / Selbstständiger
Remote-Arbeit
Verfügbar ab: 01.02.2026
Verfügbar zu: 100%
davon vor Ort: 50%
Data Engineer
Machine Learning
Software-Entwicklung
Data Scientist
Python
Optimierung
Applikationsarchitektur
Cloud Architect
ETL
Datenbanken
SQL
C#
Produktionslogistik
Prozessautomatisierung
Big Data
Künstliche Intelligenz
Algorithmen
Forecasting
Statistik
Business Intelligence
Datawarehouse
Azure
German
Muttersprache
English
fluent/C1

Einsatzorte

Einsatzorte

Schloß Holte-Stukenbrock (+200km)
Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

2024?2026: realizing AI-driven planning workflows

Role: Project Lead and Software Architect

Customer: Bruninghaus GmbH & Co. KG


Tasks:

realizing AI-driven planning workflows with cloud-based ERP integration for industrial operations

2021?2024: building data-driven material flow planning and optimization systems

Role: Data Scientist and Software Architect

Customer: Miele & Cie. KG


Tasks:

building data-driven material flow planning and optimization systems for assembly and PCB manufacturing

2021?2024: developing SAP-based planning logic

Role: Data Engineer / Scientist

Customer: Isringhausen GmbH & Co. KG


Tasks:

developing SAP-based planning logic for load balancing in just-in-sequence production

2020?2022: designing a sales analytics data warehouse

Role: Data / BI Engineer

Customer: Bio-Circle Surface Technology GmbH


Tasks:

designing a sales analytics data warehouse and predictive reporting workflows in PowerBI

2020?2022: applying machine learning models

Role: Data Scientist

Customer: MIT GmbH & Co. KG

Tasks:

applying machine learning models to improve ERP master data quality and planning parameters.

2018?2020: designing and developing custom applications

Role: Software Architect

Customer: redutools GmbH


Tasks:

designing and developing custom applications, APIs, and workflow automation to digitalize planning, sales, and manufacturing processes

2017?2018: designing and implementing SaaS backend modules

Role: Software Engineer

Customer: c-trace GmbH


Tasks:

designing and implementing SaaS backend modules, data architectures, and analytics applications for transport logistics

2013?2016: delivering controlling and analytics solutions

Role: Software Engineer and Consultant

Customer: Sandmeier GmbH


Tasks:

delivering controlling and analytics solutions for ERP-based investment and transformation planning in process and discrete manufacturing

Aus- und Weiterbildung

Aus- und Weiterbildung

Applied ML

PhD (Applied ML)


Further training and certificates:

Certified Software Developer (ITA)

Position

Position

  • Technical Consultant
  • Engineer
  • Data ? Analytics ? Machine Learning/AI ? Optimization

Kompetenzen

Kompetenzen

Top-Skills

Data Engineer Machine Learning Software-Entwicklung Data Scientist Python Optimierung Applikationsarchitektur Cloud Architect ETL Datenbanken SQL C# Produktionslogistik Prozessautomatisierung Big Data Künstliche Intelligenz Algorithmen Forecasting Statistik Business Intelligence Datawarehouse Azure

Produkte / Standards / Erfahrungen / Methoden

BACKGROUND:
  • Software & Data Engineering (5y): Python/cloud development, pipelines/ETL, APIs, databases
  • Data Science & AI (5y): Analytics, statistics, forecasting, optimization, ML/neural networks, LLM
  • Consulting & Delivery (4y): End-to-end solution delivery from requirements to production (agile)
  • Domain focus: Supply chain management, manufacturing, logistics, B2B purchasing and sales


TECH STACK:

  • Python: Pandas, NumPy, PySpark, FastAPI, Flask, Streamlit, SQLAlchemy, Cython etc
  • C# / .NET: C#, .NET Core, ASP.NET, WPF, LINQ, Entity Framework, REST APIs
  • Data Engineering & Integration: SQL, ETL/ELT, ERP Integration, REST/OData APIs, event-driven architectures, workflow automation (n8n)
  • Machine Learning & Optimization: Scikit-Learn, PyTorch, Keras, TensorFlow, CP, LP, MIP, metaheuristics
  • NLP/LLM: OpenAI APIs, Azure OpenAI, LangChain, RAG architecture, prompt engineering, tool-calling
  • Cloud & Platform: Azure (Databricks, Data Factory, Functions, Container Services), AWS, Docker, CI/CD
  • Analytics & Visualization: PowerBI, Matplotlib, Plotly, Streamlit, Jupyter Notebooks
  • Delivery & Collaboration: Git, Azure DevOps, Jira, Scrum, Kanban, SAFe

Datenbanken

PostgreSQL
MS SQL Server
MySQL
NoSQL
Data Warehouse Design

Einsatzorte

Einsatzorte

Schloß Holte-Stukenbrock (+200km)
Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

2024?2026: realizing AI-driven planning workflows

Role: Project Lead and Software Architect

Customer: Bruninghaus GmbH & Co. KG


Tasks:

realizing AI-driven planning workflows with cloud-based ERP integration for industrial operations

2021?2024: building data-driven material flow planning and optimization systems

Role: Data Scientist and Software Architect

Customer: Miele & Cie. KG


Tasks:

building data-driven material flow planning and optimization systems for assembly and PCB manufacturing

2021?2024: developing SAP-based planning logic

Role: Data Engineer / Scientist

Customer: Isringhausen GmbH & Co. KG


Tasks:

developing SAP-based planning logic for load balancing in just-in-sequence production

2020?2022: designing a sales analytics data warehouse

Role: Data / BI Engineer

Customer: Bio-Circle Surface Technology GmbH


Tasks:

designing a sales analytics data warehouse and predictive reporting workflows in PowerBI

2020?2022: applying machine learning models

Role: Data Scientist

Customer: MIT GmbH & Co. KG

Tasks:

applying machine learning models to improve ERP master data quality and planning parameters.

2018?2020: designing and developing custom applications

Role: Software Architect

Customer: redutools GmbH


Tasks:

designing and developing custom applications, APIs, and workflow automation to digitalize planning, sales, and manufacturing processes

2017?2018: designing and implementing SaaS backend modules

Role: Software Engineer

Customer: c-trace GmbH


Tasks:

designing and implementing SaaS backend modules, data architectures, and analytics applications for transport logistics

2013?2016: delivering controlling and analytics solutions

Role: Software Engineer and Consultant

Customer: Sandmeier GmbH


Tasks:

delivering controlling and analytics solutions for ERP-based investment and transformation planning in process and discrete manufacturing

Aus- und Weiterbildung

Aus- und Weiterbildung

Applied ML

PhD (Applied ML)


Further training and certificates:

Certified Software Developer (ITA)

Position

Position

  • Technical Consultant
  • Engineer
  • Data ? Analytics ? Machine Learning/AI ? Optimization

Kompetenzen

Kompetenzen

Top-Skills

Data Engineer Machine Learning Software-Entwicklung Data Scientist Python Optimierung Applikationsarchitektur Cloud Architect ETL Datenbanken SQL C# Produktionslogistik Prozessautomatisierung Big Data Künstliche Intelligenz Algorithmen Forecasting Statistik Business Intelligence Datawarehouse Azure

Produkte / Standards / Erfahrungen / Methoden

BACKGROUND:
  • Software & Data Engineering (5y): Python/cloud development, pipelines/ETL, APIs, databases
  • Data Science & AI (5y): Analytics, statistics, forecasting, optimization, ML/neural networks, LLM
  • Consulting & Delivery (4y): End-to-end solution delivery from requirements to production (agile)
  • Domain focus: Supply chain management, manufacturing, logistics, B2B purchasing and sales


TECH STACK:

  • Python: Pandas, NumPy, PySpark, FastAPI, Flask, Streamlit, SQLAlchemy, Cython etc
  • C# / .NET: C#, .NET Core, ASP.NET, WPF, LINQ, Entity Framework, REST APIs
  • Data Engineering & Integration: SQL, ETL/ELT, ERP Integration, REST/OData APIs, event-driven architectures, workflow automation (n8n)
  • Machine Learning & Optimization: Scikit-Learn, PyTorch, Keras, TensorFlow, CP, LP, MIP, metaheuristics
  • NLP/LLM: OpenAI APIs, Azure OpenAI, LangChain, RAG architecture, prompt engineering, tool-calling
  • Cloud & Platform: Azure (Databricks, Data Factory, Functions, Container Services), AWS, Docker, CI/CD
  • Analytics & Visualization: PowerBI, Matplotlib, Plotly, Streamlit, Jupyter Notebooks
  • Delivery & Collaboration: Git, Azure DevOps, Jira, Scrum, Kanban, SAFe

Datenbanken

PostgreSQL
MS SQL Server
MySQL
NoSQL
Data Warehouse Design

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