Data Engineer (80-100%)

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 visualisations for various functions across Syngum.
• 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 Syngum 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 / LTL 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 visualisation tools (e.g., Power BI).
• Understanding of machine learning, statistical analysis, AI and GenAI technologies.
• Ideally interest and first experiences in AI Agent Frameworks (e.g. LangChain).
• Good communication and teamwork skills.

Wir bieten

Joining Syngum means being part of a dynamic, global team that is building a trusted gateway between the traditional and digital asset economies.

• Work in a dynamic and innovative environment with short decision ways.
• Be surrounded by driven people and get exposure to stakeholders across the whole company.
• Work at the forefront of future finance and be exposed to many trends in this space.