Data Engineer – Fintech

• Build and continuously develop a domain-specific data foundation for the installment lending business
• Develop scalable data pipelines and model reliable data structures, e.g. using dbt
• Combine data from different sources and identify technical and business dependencies
• Prepare data for reporting, analytics, and AI applications
• Develop reusable and reliable data products
• Structure and provide data for AI and automation use cases, taking data protection, GDPR, sensitive financial data, and secure data access into account
• Work closely with Product, Engineering, Data Analysts, and Data Scientists
• Translate requirements into scalable data solutions
• Take end-to-end ownership of data products, from modeling and implementation through to stable operations
• Independently prioritize and drive initiatives, coordinating across teams where necessary

• Several years of experience building and operating data pipelines, data models, or analytics engineering solutions in production environments
• Hands-on experience with SQL and Python
• Experience with dbt and Airflow
• Knowledge of transformation, orchestration, and testing
• Experience working with existing system landscapes and managing business, technical, and organizational dependencies
• Ability to familiarize yourself with complex processes in the installment lending business
• Experience with testing, monitoring, plausibility checks, or other mechanisms for ensuring consistent and reliable data
• Understanding of the data quality, structure, and availability requirements of AI and automation applications
• Ideally, experience with data protection (e.g. GDPR), access control concepts, and the responsible handling of sensitive data in a regulated environment
• Data product mindset: consistent, understandable, reusable, and reliable data
• German language skills at least at C1 level, both written and spoken

• Flexible working hours
• Fully remote / 100% remote work possible throughout Germany
• Self-organization and a holacratic way of working without traditional hierarchies
• Modern hardware
• Ergonomic office equipment
• Fitness area
• Free drinks, fruit, and snacks
• Agile way of working
• Teamwork with friendly colleagues
• Mutual respect and appreciation
• Cross-functional collaboration on an equal footing
• No dress code / Come as you are