Summer Internship 2026 – Data Platform Specialist 100% (f/m/d) at BANK JULIUS BAER CO LTD

Zurich, Zurich, Switzerland -

Full Time

Start Date

Immediate

Expiry Date

14 Jun, 26

Salary

0.0

Posted On

16 Mar, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Pipelines, Big Data, Data Lake House, Troubleshooting, Data Science Workbench, SQL, Python, Pyspark, Data Architecture, Platform Administration, Agile Development, Data Analytics, Business Intelligence, Information Systems

Industry

Banking

Description

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. Be Empowered with our 10-week Summer Internship Programme. Join us for a 10‑week internship from 1 July to 4 September 2026 and spend your summer discovering the opportunities and challenges of the global data and technology universe at Julius Baer. As a student, this internship is a chance to explore your interests, develop hands‑on experience, and gain new skills working alongside experienced data professionals on real projects. Our programme includes learning sessions, workshops, and networking events, giving you the chance to interact with colleagues, data experts, platform experts, and graduates across the organization. If you’re passionate about data, analytics, data science or technology-driven problem solving, our programme offers the ideal environment to learn, grow, and make an impact. Apply now and join our dynamic team for a summer of learning, innovation, and excitement! Your team Join the Global Data Platform, a core part of the strategic data ecosystem of the bank. Our mission is to enable teams across the company to make data driven decisions through provisioning provision of trusted and complete data on a platform which offers state-of-the-art toolkit. As an intern, you will support our agile release train in a variety of topics aligned to your skill set. We have two products (data & platform), and you will be integrated into one of the teams to support strategic delivery milestones. YOUR CHALLENGE What to work on: Support in creating, maintaining and improving data pipelines Support & maintain open-source platform components in a big data, data lake house Sharpen your techniques to trouble shooting and resolution management Contribute to projects that promote the data science workbench adoption through the community of practice Collaborate with teams working with SQL & Python-based data sources and agile development practices What to learn: Best practices in data architecture in an enterprise data offering Fundamentals of data pipelining and infrastructure management How to support data and platform operations in troubleshooting How large organizations govern and scale self‑service analytics Practical SQL skills for querying datasets Python and pyspark implementation Experience working in a strategic agile delivery train YOUR PROFILE Bachelor student from 2nd year onwards or enrolled Master student in the field(s) of Data Analytics, Computer Science, Business Intelligence, Information Systems, or a related field Initial experience with data pipelining or platform components is a plus SQL, python & pyspark knowledge Interest in learning platform administration and enterprise data concepts Passion for data-driven decision making and creating value through analytics A global mindset, strong communication skills, and a proactive, collaborative approach Fluency in English; additional languages are a plus Registered in the country of application with a valid work permit Applications are reviewed on a rolling basis. We appreciate your early application and thank you for your patience during the review process. We are looking forward to receiving your full job application through our online application tool. Further interesting job opportunities can be found on our Career site. Is this not quite what you are looking for? Set up a job alert by creating a candidate account here. The international reference in wealth management Julius Baer is the leading Swiss wealth management group. We focus on servicing and advising sophisticated private clients from around the world, taking into account what truly matters to them – in their business and personal life, today and for future generations. Headquartered in Zurich, we are present in around 60 locations worldwide, including Bangkok, Dubai, Dublin, Frankfurt, Geneva, Hong Kong, London, Luxembourg, Madrid, Mexico City, Milan, Monaco, Mumbai, Santiago de Chile, Shanghai, Singapore, Tel Aviv, and Tokyo. Why join Julius Baer? At Julius Baer our employees enjoy the benefits of a global company with the support and collegiality of a much smaller one. We are growing quickly, but we remain dedicated to maintaining our accessible structure with flat hierarchies, and approachable and supportive leaders. With offices around the world, we offer an international and stimulating work environment and the opportunity to work with a diverse team of highly motivated colleagues, bringing the best of the bank to our clients. Our core values of Care, Passion, and Excellence define the tone of how we interact with each other and our partners. Committed to your success Whether nurturing young talent with our renowned apprentice scheme, enabling ambitious university graduates to put theory into practice with our Graduate Programme, or providing first-class opportunities for experienced professionals, we look after our employees. We believe in continuous learning as a company and as individuals, which is why we put a focus on the health and well-being of our employees and offer flexible working options, a wide array of benefits, and extensive career development programmes. For more information visit www.juliusbaer.com or contact us via the Contact Form. For recruiting agents, please see the additional information here.

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Responsibilities

The intern will support the agile release train by assisting in creating, maintaining, and improving data pipelines and supporting open-source platform components within a big data, data lake house environment. Responsibilities also include troubleshooting, contributing to data science workbench adoption projects, and collaborating with teams using SQL and Python-based data sources.