Data Scientist/Data Engineer

Your role in the team

• You continuously design, implement, and develop data- and AI-based applications.
• You train ML models to solve complex business problems and bring them into production.
• You develop AI applications incorporating Large Language Models (LLMs) as well as Retrieval-Augmented Generation (RAG) for use in agent-based systems.
• Design, development, and implementation of robust data pipelines (ETL/ELT) within the Databricks environment.
• You are responsible for monitoring, scaling, and quality assurance of existing solutions (MLOps/DataOps).
• You work closely with the specialist departments to translate technical requirements into data-driven solutions.

What we offer

• State-of-the-art tech stack based on Databricks.
• Freedom for experiments with the latest AI technologies (LLMs, Agents).
• Our digital performance has enabled a work-life balance for many years through flexible and family-oriented working hours and work location arrangements.
• Personal development and career opportunities with increasing responsibility in a friendly working environment.
• Flat hierarchies combined with a project-oriented working style invite you to realize your own ideas in a digital working environment.
• Diverse training opportunities through our academy and beyond.
• Fair compensation and social benefits of a large corporation such as vacation pay, Christmas bonus, asset-building benefits, company pension scheme, 30 days of vacation, bonus and premium system.
• Affordable purchasing conditions for our products, access to corporate benefits.

Technologies and skills

• GitHub
• Python
• Apache Spark
• NoSQL
• SQL
• MLflow
• Terraform
• Power BI

Our expectations:

Qualifications

• Solid programming skills in Python as well as proficiency in handling SQL.
• Strong analytical skills to structure data, analyze it, and derive actionable insights from it.
• Knowledge of Infrastructure as Code (e.g., Terraform).
• Visualization skills with tools like Power BI.
• Very good German skills (C1 or higher) and good English skills (B2 or higher).

Experience

• Practical experience with the Databricks Lakehouse platform.
• Experience with Apache Spark (PySpark).
• Experience with GitHub.
• Experience in Model Deployment (MLflow) and NoSQL databases.

Education

• Completed IT-oriented degree (Computer Science, Business Informatics, Software Engineering, Mathematics, Physics) or relevant professional experience.

Benefits

• Bonus Commisions
• Summer and Christmas Bonus
• Company Retirement Provision