Requirements

• Technical background, either through a degree in (Business) Informatics, Engineering, Mathematics, or similar, or through a relevant technical education.
• Minimum of 4 years of experience in positions such as Data Engineer, Analytics Engineer, BI Developer, or similar, with knowledge in ETL/Data-Pipelines, relational databases, and cloud technology.
• Strong analytical skills and a structured approach to problem-solving.
• Ability to effectively communicate complex technical concepts.
• Proficiency in both German and English.

Responsibilities

• Infrastructure & Architecture: Making design decisions for the data platform and refactoring the data warehouse.
• Hands-on Data Integration: Designing and implementing data transformation processes and deploying data processing pipelines.
• Data-Lineage & Data-Governance: Creating a transparent overview of the data flow from source systems to usage, working on the data shop, and ensuring data integrity and security.

Benefits

• Networking & Development: Opportunities for professional development within the company, including mentoring programs and e-learning options.
• Attractive Location: Central location with excellent public transportation connections and possible commuting support.
• Access to Publications: Free access to the company's publications, events, and media offerings.
• Flexibility: Hybrid work arrangements are practiced.
• Support: Employee assistance program for quick and effective help with professional and personal issues.
• Discounts: Various corporate benefits, cultural discounts, and ticket offers.
• Job Security: Permanent employment with immediate start.
• Company Culture: A respectful and inclusive work environment.