As a Data Engineer at the Digital Innovation & Analytics department, you will join the Non-Financial Risk and People Analytics team. You will work in a multidisciplinary Scrum team in which you are responsible for automating business processes and building data products that inform and drive decision-making, such as models, dashboards, and AI solutions, focusing on the following domains: Compliance, Non-financial Risk, Internal Control, and HR. Join the team and start shaping the future of Wealth Management leveraging data and AI.
You also have the following tasks:
- Data Pipeline Automation: Setting up automated ETL (Extract, Transform, Load) processes to move data from various sources to data warehouses or data lakes.
- Create and maintain data models in Power BI
- Develop and deliver comprehensive Power BI reports to analysts and decision-makers
- You will work closely with the AI engineer and data analyst and improve the current processes using new technologies and AI.
- Bring value to the business by designing, developing and deploying models in a responsible way.
- Research proactively for novel methods to approach problems and challenges.
- Support model deployment, with an emphasis on auditability, versioning, and data security.
- Apply best practices to machine learning, including CI/CD and automation.
