Job offer

Data Engineer (80-100%)

As a Data Engineer, you will be part of a dynamic team and play a key role in driving business insights, operational excellence and data-driven decisions through Data & AI. You will work closely with cross-functional teams to understand business requirements, deliver data solutions and handle ad-hoc data requests.

Job description: Data Engineer (80-100%)

About the role

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.

Tasks

  • 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.

Requirements

  • 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.

We offer

  • 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.

Job details

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