TRUUCO is a startup focused on data-driven sales for the Cooperative Financial Group, positioning itself as a smart partner that integrates people, ideas, and technologies to bring data to life. The company offers smart services through tailored Smart Data models, intuitive tools, and customer-specific engagements to enhance sales and consulting results. TRUUCO enables banks and their employees by providing comprehensive training on Smart Data applications and fostering collaborations within the Smart Data community. As a company at the intersection of enterprise and startup culture, TRUUCO is continuously seeking talent to innovate in the banking sector, developing Smart Data packages and solutions.
February 7
TRUUCO is a startup focused on data-driven sales for the Cooperative Financial Group, positioning itself as a smart partner that integrates people, ideas, and technologies to bring data to life. The company offers smart services through tailored Smart Data models, intuitive tools, and customer-specific engagements to enhance sales and consulting results. TRUUCO enables banks and their employees by providing comprehensive training on Smart Data applications and fostering collaborations within the Smart Data community. As a company at the intersection of enterprise and startup culture, TRUUCO is continuously seeking talent to innovate in the banking sector, developing Smart Data packages and solutions.
• Fundierte Wissen über Big Data Technologien unterstützen bei der Konzeption und Entwicklung von Smart Data Lösungen in der Finanzdienstleistungsbranche • Verantwortlich für Modellierung, Aufbau und Implementierung von Data-Warehouse- und Business Intelligence-/Data Analytics-Lösungen • Datenbereitstellung für die Smart Data Modelle im Data Integration Hub • Realisierung relationale sowie multidimensionale Datenmodelle und Design und Implementierung von Datenintegrationsprozessen / ETL • Arbeit in einer cross-funktionalen Umgebung und stets up-to-date mit den neusten Trends im Bereich Data Storage
• Erfolgreich abgeschlossenes Studium, z.B. (Wirtschafts-)Informatik, Mathematik oder andere technischen Fachrichtungen mit den Schwerpunkten Data Engineering, Data Analytics • Mehrjährige Berufserfahrung im IT- und/oder Finanzdienstleistungssektor • Praktische Erfahrungen mit Business Intelligence-/Data Analytics-Projekten • Vertrautheit mit der Softwareentwicklung im Bereich von Data-Warehouse-Anwendungen • Sehr gute Kenntnisse in der agilen Softwareentwicklung • Ausgeprägte Coding Skills in Programmiersprachen wie Python und Java • Ausgeprägte Kenntnisse in den Big Data Technologien wie z.B. Spark, Airflow und Kafka • Erste Erfahrungen mit Azure • Erfahrung im Umgang mit Docker/Kubernetes zur Containerisierung und Orchestrierung von Anwendungen • Ausgeprägte analytischen Fähigkeiten und Qualitätsbewusstsein • Selbstständige, eigenverantwortliche und teamorientierte Arbeitsweise • C1-Niveau an Deutsch-Kenntnissen
• Unbefristete Festanstellung in einem innovativen Unternehmen mit Start-up-Charakter und (finanz-)starken Gesellschaftern • Hohe Gestaltungsfreiheit in einem Team, das sich neu findet • Einzigartige Chance, den datengetriebenen Vertrieb in der Genossenschaftlichen FinanzGruppe von morgen mitzugestalten • Flexible Arbeitszeiten, hybrides Arbeiten sowie moderne Bürokonzepte in Frankfurt und Karlsruhe • Überdurchschnittliche Rahmenbedingungen, wie ein attraktives Gehalt mit variabler, erfolgsabhängiger Komponente sowie umfangreiche Benefits wie betriebliche Altersvorsorge u.v.m.
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