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FREELANCE Data & AI Engineer

Original title: FREELANCE Data & AI Engineer (m/w/d) gesucht // Skalierbare Lakehouse-Pipelines & Agentic AI

WeMatch Consulting GmbH · Berlin, Deutschland, Germany · Remote · Senior

  • Berlin, Deutschland, Germany · Remote
  • 5 Monate
  • German

Indexed (2 weeks ago) · refreshed constantly

Start
2026-11
Duration
5 Monate
Work mode
Remote
Contract
Freelance / B2B
Seniority
Senior
Reference
3057580

Required skills

Nice to have:Microsoft AzureAzure OpenAIAzure AI SearchAzure Data FactoryDatabricksDelta LakeUnity CatalogMLflowLangChainLangGraphE-commerceRetail

Languages: German

Job description

Seeking a freelance Data & AI Engineer to develop scalable Lakehouse pipelines and Agentic AI solutions for an omnichannel retailer, bringing data-driven AI solutions from pipeline to production.

Project overview

Bring data-driven AI solutions from the pipeline directly into productive operation! For an omnichannel retailer, you will develop robust Data Lakehouse architectures, feature stores, and innovative Agentic AI applications. In this role, you will combine clean ETL/ELT pipelines with performant MLOps and create real added value for automated business processes.

Framework Data

Nice to have

Practical experience with Microsoft Azure (Azure OpenAI, AI Search, Data Factory) or Databricks (Delta Lake, Unity Catalog, MLflow)

Experience in developing Agentic AI (LLM orchestration with LangChain, LangGraph) as well as industry experience in e-commerce / retail

Are you currently available and does this match your skills? Then feel free to send me your CV with your hourly rate to *@*.de / [contact removed].

I look forward to your feedback!

Best regards

Pauline Reichenberger

Project details

01.11.2026

5 months (full-time)

Utilization: Full-time

Remote Share: Up to 100% remote

Language: German and English (fluent in spoken and written)

Activity

Conception and development of robust ETL/ELT pipelines and Data Lakehouse architectures (e.g., Medallion architecture) for integrating e-commerce, ERP, and store data

Setup and further development of feature stores and operationalization of machine learning models, including MLOps processes (training, deployment, monitoring, retraining)

Development of innovative Agentic AI and RAG solutions for automation and support of central business units

Provision of Data Products with clear quality standards and automation of infrastructure via CI/CD and IaC

Skills

Several years of practical experience in Data Engineering (ETL/ELT, Data Lakes, Data Warehouses, Lakehouse architectures)

Demonstrable experience in the productive operation of machine learning models and in building feature stores

Sound programming skills in Python and SQL, as well as practical experience with Spark / PySpark

Deep understanding of scalable system architectures, APIs, CI/CD pipelines, and automation

Negotiation-level German and English skills

  • Start: 2026-11
  • Duration: 5 Monate
  • Remote: remote
  • Location: Berlin, Deutschland, DE
  • Languages: German

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