Data Engineer

At Julius Baer, we celebrate and value the individual qualities you bring, enabling you to be impactful, to be entrepreneurial, to be empowered, and to create value beyond wealth. Let’s shape the future of wealth management together.

Responsible for the implementation of methods and solutions to strengthen data reliability and quality. Collaborate with Data Scientists and Data Analysts to develop data models and pipelines for research, reporting, and machine learning.

YOUR CHALLENGE

• Generate efficiencies and risk reduction in Operational Processes, by designing & building ETL and visualization solutions

• Support business stakeholders in defining the business requirements

• Build the required ETL pipelines to process data in an efficient, secure and stable way

• Design simple and clear visualizations to enable business decisions or controls

• Project Management: Manage multiple projects simultaneously to implement strategic solutions for Operations including collaboration with Technology

YOUR PROFILE

Competencies

• Experience in Data Engineering and Dashboard building

• Data Engineering: Strong knowledge and ability in Data Modelling, Data Cleansing, creating and maintaining Data Products (Alteryx, Dataiku or similar), SQL

• Expertise in Data Visualization: PowerBI, Tableau or similar

• Ability to break down complex business requirements into key KPIs and visualizations

• Project Management skills – Planning, requirements gathering, documentation, implementation, stakeholder management

• Experience with Python is a plus

Education

• University Education in Computer Science, Engineering, Economics

• Process design, process automation, data analytics, data science

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