
1001 - 5000 employees
Founded 1999
💳 Fintech
🏠 Real Estate
☁️ SaaS
Fintech • Real Estate • SaaS
Hypoport SE is a publicly listed parent company that operates a network of technology firms serving the FinTech, PropTech and InsurTech sectors. It provides platforms and software-enabled services that connect lenders, brokers, insurers and other financial and real-estate market participants, while promoting agile, self-organized workplace culture and digital, activity-based offices. Hypoport positions itself as a growth-focused technology network enabling B2B platform solutions and talent development across its group companies.
🔥 0 minutes ago
🗣️🇩🇪 German Required
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1001 - 5000 employees
Founded 1999
💳 Fintech
🏠 Real Estate
☁️ SaaS
Fintech • Real Estate • SaaS
Hypoport SE is a publicly listed parent company that operates a network of technology firms serving the FinTech, PropTech and InsurTech sectors. It provides platforms and software-enabled services that connect lenders, brokers, insurers and other financial and real-estate market participants, while promoting agile, self-organized workplace culture and digital, activity-based offices. Hypoport positions itself as a growth-focused technology network enabling B2B platform solutions and talent development across its group companies.
• Build and maintain a robust data foundation • Develop scalable data pipelines and reliable data structures • Prepare data for reporting and AI applications • Collaborate with cross-functional teams to translate requirements into data solutions • End-to-end responsibility for data products
• Several years of experience building and operating data pipelines, data models, or analytics-engineering solutions in production environments • Hands-on experience with SQL, Python, and tools such as dbt and Airflow • Experience with mature or organically grown platforms • Ability to understand complex processes in the installment loan business • Experience with testing, monitoring, sanity checks or similar practices to ensure consistent data • Understanding of AI and automation use cases • Ideally, experience with data protection (e.g., GDPR) and handling sensitive data • Data-product-oriented mindset
• Flexible working hours • Fully remote work options • No traditional hierarchies; holacracy • Cross-functional collaboration with various departments • A genuinely friendly team • Mutual respect and appreciation • Modern office building • Ergonomic office equipment and fitness area • Free drinks, fruit and snacks • No dress code
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