Project specification
Project expertise
Description
A company is seeking a skilled Data & AI Engineer to develop and maintain robust data pipelines and AI solutions that support their E-Commerce and Omnichannel business. The role involves working on demand and revenue forecasts, transitioning prototypes into stable operations, and creating impactful AI applications.
- Design and develop ETL/ELT pipelines to integrate data from various systems into a Lakehouse.
- Create and manage data models and layers in the Lakehouse, ensuring data quality and governance.
- Build and enhance a Feature Store for consistent and reusable features across teams.
- Develop Data Products with clear ownership and standards for independent use by departments.
- Collaborate with Data Scientists to deploy and monitor Machine Learning models in production.
- Develop Agentic-AI solutions like AI Agents and RAG applications to support business operations.
- Analyze requirements with departments and translate them into scalable technical solutions.
- Automate deployment and operations using CI/CD and Infrastructure as Code.
- Stay updated on new technologies in the Data and AI domain and assess their value for the company.
Requirements
- Degree in Computer Science, Data Science, Mathematics, or equivalent qualification.
- Several years of practical experience in Data Engineering, including ETL/ELT processes and Lakehouse architectures.
- Experience in building Feature Stores and familiarity with Data Products or Data Mesh concepts.
- Proven experience in deploying and operating Machine Learning models in production.
- Proficiency in Python, SQL, and familiarity with Spark/PySpark.
- Strong understanding of scalable, secure, and maintainable system architectures, APIs, CI/CD, and automation.
- Structured work approach, clear communication, and eagerness to learn new technologies.
- Experience in developing Agentic-AI solutions, such as AI Agents, RAG systems, and LLM orchestration.
- Familiarity with Microsoft Azure, such as Data Factory, Azure OpenAI, and AI Search.
- Experience with Databricks, such as Delta Lake, Unity Catalog, and MLflow.
- Knowledge of Infrastructure as Code, such as Terraform.
- Background in E-Commerce or retail.
Not applying this time?
Get notified about similar projects matching your experience.
Frequently asked questions
The project is based in Bad Homburg, Germany.
The project preferably starts in November 2026 and is planned to end in December 2026 (1 month).
The project requires a commitment of 90 - 100% capacity (full-time).
The project offers 95 - 100% remote work.
The project offers a daily rate of 704 - 800€ which breaks down to an hourly rate of 88 - 100€/h.
The project requires the following languages: German (Advanced) and English (Advanced).
The project is related to the following industry: Retail.
The project covers the following business areas: Information Technology and Product Development.
Yes! Recommend a freelancer for the project and earn 30% of FRATCH's profits every time they get placed — for the duration of that project. Simply share your invite link with a colleague to get started.
To apply for the project, click the Apply button on the project page to submit your profile for review. We will forward your resume to the client and get back to you within a few days.
