Data Platform Engineer Working Student (m/w/d)

Responsibilities

Our talent team is representing a confidential technology consultancy seeking a working student to support their data platform engineering practice. In this role, you will:

• Support the design and development of cloud-native data platforms and lakehouse architectures for internal and client projects
• Contribute to implementing medallion architectures (Bronze, Silver, and Gold layers), including automated data ingestion workflows
• Assist with data governance implementations, including access control and permission models
• Help automate deployments using infrastructure-as-code tooling and CI/CD pipelines
• Support the development of data quality frameworks and monitoring solutions for production environments
• Contribute to technical documentation of platform architectures and internal best practices
• Participate in internal tooling and demonstrator projects that shape the organization's data platform capabilities

What We're Looking For

• Currently enrolled in an IT-related degree programme such as Computer Science, Business Information Systems, Data Engineering, Data Science, or related discipline
• Strong knowledge of Python and SQL
• Interest in data lakehouses, data governance, Infrastructure as Code, and CI/CD methodologies
• Basic understanding of data modelling and data integration processes (ETL/ELT)
• Experience with Databricks and/or cloud data platforms (Azure, AWS, or GCP) is advantageous
• Familiarity with Git and version control is desirable
• Ability to work independently and in a structured manner with strong teamwork and communication skills
• Excellent German and English language skills (at least C1 level in both languages)
• Ability to work from the Munich office at least 50% of the time

How We Work with You

Candidates apply directly through Get A Job.ai. Our recruiting team will conduct an initial screening to understand your background and ensure alignment with the role. We then submit qualified candidates to our client for their review and interview process. Please do not contact the client directly—all communication and coordination will flow through our team to ensure a smooth, professional experience.

Pay

Compensation details will be discussed during the screening process based on your experience and academic standing.

Equal Opportunity: Get A Job.ai is committed to inclusive hiring practices and works with clients who value diverse perspectives and backgrounds.