Stellenangebot
Data Engineer (80-100%)
Als Data Engineer bist du Teil eines dynamischen Teams und spielst eine Schlüsselrolle bei der Förderung von Geschäftseinblicken, operativer Exzellenz und datengetriebenen Entscheidungen durch Data & AI. Du wirst eng mit funktionsübergreifenden Teams zusammenarbeiten, um Geschäftsanforderungen zu verstehen, Datelösungen bereitzustellen und Ad-hoc-Datenanfragen zu bearbeiten.
Stellenbeschreibung: Data Engineer (80-100%)
Über die Rolle
Join our dynamic Data Analytics team and play a key role to drive business insights, operational excellence and data-driven decision making, and innovation through Data & AI across the group.
Aufgaben
- Work closely with cross-functional teams to understand business needs, provide data solutions, and handle ad-hoc data requests.
- Ingest, clean, and organize data from multiple sources, including real-time data streams, ensuring accuracy and reliability.
- Perform statistical analysis, identify trends in data, develop key performance indicators (KPIs) and performance tracking measures.
- Create BI solutions, including automated reporting, dashboards, and visualizations for various functions across Sygrum.
- Develop advanced Data Analytics and AI solutions, such as predictive models, AI and GenAI applications.
- Be a key member of the Data Analytics Hub, and support Sygrum Data Analytics Community in various projects and tasks.
Anforderungen
- Master’s degree in Data Science, Computer Science, Statistics or a related field.
- Strong analytical and problem-solving skills, attention to detail and accuracy, data-driven mindset.
- Interest and ideally first experiences in banking, crypto, and blockchain technologies.
- Experience in the Azure Technology Stack, Azure Data Services, and Azure Datalabricks, ideally recognized with certifications.
- Experience in ETL / LT pipelines.
- Extensive experience in Python (ideally including PySpark), any additional programming language is desirable.
- Experience with DevOps and CICD.
- Experience in database management and data visualization tools (e.g., Power BI).
- Understanding of machine learning, statistical analysis, AI and GenAI technologies.
Wir bieten
- Work in a dynamic and innovative environment with short decision ways.
- Be surrounded by driven people and get to expose to stakeholders across the whole company.
- Work at the forefront of future finance and be exposed to many trends in this space.
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