Data Scientist

Stack

Responsibilities

• ▹Designing, building and further developing modern data architectures and scalable data pipelines for clients
• ▹Hands-on implementation of cloud-based data platforms, focused on Microsoft Fabric, Databricks and Azure cloud services
• ▹Developing robust data models and building interactive, insightful Power BI dashboards to support business decisions
• ▹Supporting the development of modernization strategies and roadmaps to migrate outdated data silos to modern, cloud-based platforms
• ▹Helping make clients' data architectures 'AI-ready', building the technological foundation for integrating machine learning and GenAI use cases
• ▹Collaborating with an interdisciplinary team of data scientists, strategy consultants and cloud experts in an agile project environment

Requirements

• ▹A completed university degree in business informatics, computer science, data science, mathematics or a related field
• ▹A motivated graduate or 1-3 years of professional experience in data engineering, business intelligence or data architecture
• ▹Practical experience or solid knowledge of modern data platforms and tools (ideally MS Fabric, Databricks, Azure Data Factory, Synapse)
• ▹Good knowledge of data modeling as well as SQL and preferably Python (or PySpark)
• ▹Confident use of Power BI for data visualization
• ▹Negotiation-level German and English, spoken and written

Nice to have

• ▹Strong interest in AI enablement and an understanding of how data must be structured to optimally train and deploy AI models

Soft skills

What we offer

• ▹Continuous training opportunities (e.g. Azure, Databricks, MS Fabric certifications)
• ▹Attractive compensation and numerous additional benefits
• ▹Flexible working hours and mobile work options (e.g. home office)
• ▹Starting salary for an Associate with a Bachelor's degree of EUR 47,950 gross/year (all-in), with room for a higher offer based on qualifications and experience
• ▹Performance-based individual bonus

About the company

KPMG is an international consulting firm that places great importance on diversity, inclusion and equal opportunity, regardless of gender, age, nationality, ethnic origin, religion, disability, sexual orientation or identity.