Hypoport SE
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.
Senior Analytics Engineer – Snowflake, Power BI
Job not on LinkedIn
🔥 7 minutes ago
🗣️🇩🇪 German Required
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Hypoport SE
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.
📋 Description
• betreibst und stabilisierst ELT-Pipelines auf Basis von Snowflake, dbt und Airflow • entwickelst und pflegst wartbare Datenmodelle in dbt • integrierst heterogene Datenquellen in konsistente Datensätze • baust und verantwortest Python‑basierte Ladeprozesse • implementierst Qualitätsprüfungen und Monitoring entlang der Pipeline • entwickelst und optimierst Power-BI-Dashboards und -Reports • agierst als Sparringspartner für deinen Teamlead
🎯 Requirements
• 3–5+ Jahre Erfahrung im Analytics‑ oder Data‑Engineering • Pipelines selbst verantwortet • sehr gute SQL‑Kenntnisse • fundierte Praxis mit dbt • Erfahrung mit Snowflake oder BigQuery • hands‑on Erfahrung mit Airflow oder einem vergleichbaren Orchestrierungstool • produktive Nutzung von Python für Datenpipelines • Gute Deutschkenntnisse (B2+) • Selbstorganisation und Prioritäten setzen
🏖️ Benefits
• 30 Tage Urlaub • JobRad • Bezuschussung zur betrieblichen Altersvorsorge • kostenfreie Getränke und Snacks im Büro • Mitarbeitendenrabatte • tolle Team-Events • Nutzung von Sportmöglichkeiten
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