Data AI Engineer with knowledge of Python and SQL

Project overview

Westhouse is one of the leading recruitment companies for the placement of highly qualified specialists from the entire IT lifecycle and engineering sector.

For our client, we are currently looking for a

Data AI Engineer with knowledge of Python and SQL

Framework Information

Reference:180447

Responsibilities

Interested?

Interested? We look forward to receiving your meaningful CV in electronic form.

Your contact person:

Tobias Gollmann

*@*.com

*

• You will conceptualize and develop robust ETL and ELT pipelines that reliably bring data from webshops, ERP systems, merchandise management, CRM, and stores into our Lakehouse.
• You will design data models and layers in the Lakehouse (e.g., Medallion architecture) and ensure data quality, monitoring, and governance.
• You will build and further develop a Feature Store so that features for training and inference are consistent, versioned, and reusable across teams.
• You will develop Data Products with clear ownership, defined interfaces, and quality standards that business departments and Data Science teams can use independently.
• You will bring Machine Learning models into productive operation together with our Data Scientists and build MLOps processes for this (training, deployment, monitoring, retraining).
• You will develop Agentic AI solutions such as AI Agents and RAG applications that noticeably relieve the workload of our business departments from purchasing to customer service in their daily work.
• You will analyze requirements together with the business departments and translate them into scalable, maintainable technical solutions.
• You will automate deployment and operation (CI/CD, Infrastructure as Code) and establish best practices and reusable standards for Data & AI.
• You will keep an eye on new technologies in the Data and AI environment and evaluate where they can deliver real added value for Cyberport.

Project details

Start Date:02.11.2026 (ASAP)

Working Hours:Full-time

5 months + Option

Languages:German

Your Qualifications

• You have completed a degree in Computer Science, Business Informatics, Data Science, Mathematics, or a comparable qualification.
• You have several years of practical experience in Data Engineering: ETL/ELT processes, Data Lakes, Data Warehouses, or Lakehouse architectures.
• You have experience with building Feature Stores and are familiar with concepts like Data Products or Data Mesh from practice.
• You have not only developed Machine Learning models but also put them into production and operated them.
• You are proficient in Python and SQL; Spark or PySpark are familiar to you.
• You have a good understanding of scalable, secure, and maintainable system architectures, as well as APIs, CI/CD, and automation.
• Experience in developing Agentic AI solutions, e.g., AI Agents, RAG systems, Tool Use, or LLM orchestration (e.g., with LangChain, LangGraph, or comparable frameworks)
• Experience with Microsoft Azure (e.g., Data Factory, Azure OpenAI, AI Search)
• Experience with Databricks (e.g., Delta Lake, Unity Catalog, MLflow)
• Knowledge of Infrastructure as Code (e.g., Terraform)
• Experience in e-commerce or retail
• Start: 2026-11
• Duration: 5 Monate
• Location: DE
• Languages: German