Senior AI & Data Engineer (m/w/d)

Schickler; United States; Remote; USD 100,000 - 133,000; Full time

Job summary

Schickler seeks a senior data and AI engineer to drive data/AI initiatives, based in Hamburg or remote, with permanent full-time status. The role targets an experienced practitioner at the intersection of data engineering, ML, and applied AI, supporting projects from data architecture to modern language-model-based systems.

Responsibilities include designing data pipelines, cloud architecture, and deploying ML workflows, including RAG and NLP-based systems, within an IT-focused team.

Qualifications

• Multiple years of professional experience as Data Engineer or AI Engineer.
• Proficiency in Python and modern data engineering tooling.
• Hands-on experience with at least one major cloud platform (AWS/Azure/GCP).
• Strong understanding of data warehousing, ETL pipelines, and data architecture.
• Experience with ML workflows and applied AI.
• Familiarity with LLMs, RAG, NLP, and agent-based approaches.

Responsibilities

• Design, build, and maintain data pipelines, ETL workflows, and data warehouse components.
• Contribute to data architecture decisions across cloud environments.
• Develop and deploy machine learning and AI engineering solutions, including LLM- and NLP-based systems.
• Explore and implement retrieval-augmented generation (RAG) and agent-based patterns.
• Collaborate on project management and software delivery within an IT-focused team.

Skills

Python

Data engineering

AI engineering

Data pipelines

Cloud platforms

LLMs

RAG

NLP

ETL pipelines

Data warehousing

Tools

AWS

Azure

GCP

Job description

Role overview

A senior engineering role focused on data and AI initiatives, based in Hamburg or remote, with permanent full-time status. The position targets an experienced practitioner who can operate at the intersection of data engineering, machine learning, and applied AI, supporting projects that range from data architecture to modern language-model-based systems.

Responsibilities

• Design, build, and maintain data pipelines, ETL workflows, and data warehouse components.
• Contribute to data architecture decisions across cloud environments.
• Develop and deploy machine learning and AI engineering solutions, including LLM- and NLP-based systems.
• Explore and implement retrieval-augmented generation (RAG) and agent-based patterns.
• Collaborate on project management and software delivery within an IT-focused team.

Requirements

• Several years of professional experience as a Data Engineer, AI Engineer, or similar.
• Strong proficiency in Python and modern data engineering tooling.
• Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP).
• Solid understanding of data warehousing, ETL pipelines, and data architecture.
• Practical experience with machine learning workflows and applied AI.
• Familiarity with large language models (LLMs), RAG, NLP, and agent-based approaches.

Nice to have

• Comfort working across both project-management-oriented and software-engineering-oriented tasks.

Benefits and work setup

• Permanent, full-time experienced role; remote work or Hamburg-based location.