Data Scientist (m/w/d)

Are you a dedicated, motivated, and customer-oriented individual ready to take on significant responsibility in a dynamic and fast-paced environment? Then you are exactly the reinforcement we are looking for!

We are a leading Data Science startup that develops data products using innovative data science methods and guides companies on their journey to becoming data-driven organizations. On this journey, we are looking for a highly motivated person to support us in our growth.

Your Responsibilities

• You will work on a variety of projects at the intersection of data engineering, IT, and business issues.
• Build and manage data pipelines and data infrastructures, particularly in the Azure Data Analytics environment.
• Use and implement Databricks or Fabric for data processing and analysis projects.
• Implement Power BI Reports.
• Utilize Python packages such as pandas, NumPy, and PySpark for data processing and analysis.
• Take responsibility for leading projects from start to finish.

Your Profile

• Completed university degree, preferably in physics, mathematics, engineering, computer science, finance, business, or a quantitative field.
• 2-5 years of experience in data engineering within the Microsoft Azure infrastructure and/or with Databricks.
• Good knowledge of Python and experience with relevant Python packages (pandas, NumPy, PySpark).
• Experience with business intelligence tools such as Power BI, Qlik Sense, or Tableau, or willingness to learn them.
• Fluent in English; German would be an advantage.
• You are dedicated, creative, and organized with a strong "hands-on" mentality.
• Passion for data!

What We Offer

• You will be part of a dynamic, growing data science startup with an ambitious team.
• The opportunity to work with state-of-the-art technologies and tools in the field of data engineering.
• A flexible and creative working environment with highly qualified colleagues.
• The position is fully remote.
• Participation in a variety of data projects for different clients.

Start Date: Immediately or by agreement.