Senior AI Engineer

The Company

Our client is a fast-growing technology company with a clear product vision and international perspective. The company develops a data-driven platform at the intersection of software, machine learning, and modern manufacturing. In line with its next growth phase, a Senior AI Engineer is sought whose core competence lies where AI projects are won or lost in practice: in data infrastructure.

Your Responsibilities

• You conceptualize, build, and operate scalable ETL and ELT pipelines that prepare, transform, and provide raw data from various sources for ML training and inference workloads.
• You develop robust data pipelines for AI use cases: from batch processing to near-realtime requirements, ensuring data traceability, quality, and reproducibility.
• You implement data quality frameworks and monitoring mechanisms to detect data errors before they influence model behavior.
• You work with feature stores and ensure that feature engineering is not confined to notebooks but is integrated into production processes.
• You integrate pipelines into existing ML platforms, LLM workflows, and product architectures, always considering scalability and cost control.
• You collaborate closely with Engineering, Product, and Data Science teams, acting as the technical bridge between raw data and functional AI.

Your Profile

• Several years of experience in building data pipelines and ETL/ELT architectures in production environments.
• Proficient in Python and SQL and/or dbt for data transformation.
• Experience with pipeline orchestration (Airflow, Prefect, Dagster, or comparable).
• Knowledge of cloud data projects (AWS, GCP, or Azure), including storage and compute services.
• Understanding of ML-specific data requirements: feature engineering, training data preparation, data drift, reproducibility.
• Experience with LLMs, RAG systems, or agentic workflows as downstream consumers of your pipelines is a plus.
• Experience with container-based deployment and CI/CD.

Personally:

• Hands-on mentality: you want to build pipelines that actually run, not just draw architecture diagrams.
• High standard for data quality and code structure.
• Interest in real product relevance rather than isolated infrastructure work.
• Enjoy close collaboration with ML Engineers, Data Scientists, and Product Teams.

Benefits

What awaits you

• Data pipelines as a strategic core topic, not a necessary evil at the edge of AI projects.
• High degree of design freedom in a technically strong environment.
• Fast decision-making processes and a culture focused on actual implementation.
• In-person culture with a genuine team focus, located in Hamburg.

Why this role is exciting

• You don't work in isolation on models, but shape how AI generates value: in real processes, with real product relevance.
• This is about:
  • AI + Product
  • AI + Scaling
  • AI + Real-world application

If you are excited about operationalizing AI, not just training it, we look forward to hearing from you.