Data Engineer for Banking

Successfully completed university degree. Fluent in English (German is an advantage). Strong interest and experience in data working, including data quality management and analysis. Experience in writing business requirements and data processes. Skills in business process optimization, SQL, and Python. Experience with Git and cloud platforms like Google Cloud. Experience mapping Data to Actimize SAM Data Structure and background in Anti Financial Crime (AML) is advantageous.

Expanding the team for banking clients and working on exciting transformation challenges around data. Collaborating with some of the largest banks to transform the financial services industry. Modernizing processes, setting up, developing, and optimizing data management solutions from business analysis to implementation. Taking on increasing responsibilities over time, including leading sub-projects and smaller project teams.