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Your role

We are seeking a highly motivated and skilled Data Analytics, Data Management & Automation Engineer to join our Business Management Team in Trade & Transfer Assets Stream. In this role, you will play a key part in establishing and scaling the division’s reporting, analytics, and automation capabilities. You will work across functional areas to collect, manage, analyze, and visualize data, while also identifying and implementing opportunities for process automation. Familiarity with AI/ML technologies to enhance automation will be considered a strong advantage.

Key Responsibilities:

• Design, build, and maintain robust data pipelines and management processes to support reporting and analytics needs.
• Partner with stakeholders across the stream to understand data and reporting requirements.
• Develop dashboards, reports, and visualizations to enable data-driven decision making.
• Implement and optimize automation solutions to reduce manual processes and improve operational efficiency.
• Ensure data quality, governance, and security best practices are followed across all initiatives.
• Explore and apply AI/ML technologies to automate repetitive or predictive tasks where applicable.
• Continuously improve and document data architecture, ETL processes, and reporting infrastructure.

Your team

You’ll be part of a forward-looking IT organization that values data-driven decision making, transparency, and innovation. This is an opportunity to shape the data and automation strategy critical to our stream’s technology and operational success.

Diversity helps us grow, together. That’s why we are committed to fostering and advancing diversity, equity, and inclusion. It strengthens our business and brings value to our clients.

Your expertise

• bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Information Systems, or a related field.
• 3+ years of experience in data analytics, data engineering, or automation engineering roles.
• strong proficiency in SQL, Python, and data visualization tools such as Power BI, Tableau, or similar.
• experience with data integration tools and ETL/ELT frameworks (e.g., Azure Data Factory, Apache Airflow).
• knowledge of data warehousing and cloud platforms (e.g., Azure, AWS, or Google Cloud).
• familiarity with RPA tools (e.g., UiPath, Power Automate) and workflow automation.
• exposure to AI/ML techniques and tools for automating and optimizing business processes is a plus.
• strong communication and stakeholder management skills.
• ability to work independently and drive initiatives in a cross-functional, dynamic environment.

About us

UBS is the world’s largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors.

We have a presence in all major financial centers in more than 50 countries.

How we hire

We may request you to complete one or more assessments during the application process. Learn more

Join us

At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We’re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. We also recognize that great work is never done alone. That’s why collaboration is at the heart of everything we do. Because together, we’re more than ourselves.

We’re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.

Contact Details

UBS Business Solutions SA

UBS Recruiting

Disclaimer / Policy statements

UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.

Data Analytics, Data Management & Automation Engineer | UBS - Experienced professionals - job boards