Data and Machine Learning Engineer

About the Role

Join our Customer Management division, where scalable AWS-based data-driven solutions are created to anticipate customer needs throughout their lifecycle and to automate intelligent customer interactions. This collaborative environment involves DevOps, Data Engineers, and Data Scientists working together on modern technologies to create measurable benefits for customers and to unlock new data-centric business opportunities. In this role, you will be responsible for enhancing and maintaining our data and ML platforms, ensuring innovative solutions are reliable, scalable, and efficient in production.

Key Responsibilities

• Enhance and operate our ML and data platforms, including introducing new use cases and ensuring stable production environments.
• Develop production-grade software solutions, data pipelines, and automations with a focus on quality, maintainability, and scalability.
• Contribute to architectural decisions and improve technical standards across data, platform, and software solutions.
• Analyze and transform business requirements into robust and sustainable data and software products.
• Support projects from requirement gathering through technical implementation to optimization during production operation.

Candidate Profile

• Completed studies in Computer Science, Mathematics, Physics, Business Informatics, or an equivalent qualification.
• Professional experience as an ML Engineer, Data Engineer, Platform Engineer, or Software Engineer within data or cloud environments.
• Strong proficiency in Python and experience developing data pipelines and software solutions.
• Good command of SQL and preferably experience with cloud technologies and modern data platform frameworks.
• Familiarity with modern software engineering practices such as testing, continuous integration/deployment (CI/CD), code reviews, and version control.

Company Overview

freenet offers a comprehensive range of products and services in mobile communications, internet, and TV entertainment. With approximately 520 retail stores nationwide and a strong online presence, the company provides personalized, independent, and individual digital lifestyle solutions to customers across Germany.

Employee Benefits

• Opportunities for mobile work
• Engaging and innovative products
• Modern work environment
• Positive and collaborative workplace atmosphere
• Bicycle leasing options
• Employee smartphone tariff plans