Data Engineer for Banking

View full description

Requirements:

• 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.

Responsibilities:

• 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.