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    JU

    Julius Baer

    Wealth Management

    University Graduate – Data Engineer 100% (f/m/d)

    Luxembourg, LuxembourgOn-SiteFull-timePosted 2w ago
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    Job 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.

    Kick-start your career with Julius Baer’s Graduate Programme – April 2027
    Are you about to complete your master’s degree or recently graduated and ready to turn ambition into impact? At Julius Baer, we empower graduates to shape the future of wealth management.
    Our 18-month Graduate Programme is designed to unleash your potential through three dynamic rotations, including an international assignment. You’ll gain hands-on experience, build a global network, and lay the foundation for a thriving career in wealth management.
    Your team:
    As part of the Luxembourg / Data & Regulatory Solutions you will join Data and Analytics Team, which plays a key role in delivering trusted data solutions that support business intelligence, regulatory reporting, risk management, and strategic decision-making across the organization.
    What’s in it for you?
    • Tailored career path: Develop expertise in your chosen field while growing personally and professionally
    • Global perspective: Gain international experience and work with diverse teams
    • Community & mentorship: Learn from industry leaders and peers and build a strong network
    • Impactful work: Contribute to projects that make a real difference from day one

    YOUR CHALLENGE

    During the programme, you will:

    • Follow a structured learning path designed to develop you into a Data Engineer

    • Gain practical experience working on business-critical data and analytics solutions

    • Learn how data supports regulatory reporting, risk management, and business decision-making

    • Develop expertise in SQL/Python, data modelling, and modern data engineering practices

    • Work on meaningful projects that deliver value to the business from day one

    • Receive mentoring and coaching from experienced professionals

    • Build a strong foundation for a long-term career in data, analytics, and financial services

    YOUR PROFILE

    • Master's degree (or equivalent) from a university or university of applied sciences in Computer Science, Data Science, Software Engineering, Information Systems, Mathematics, Statistics, or a related quantitative field, with strong academic results (graduated within the last 12 months)

    • Initial practical experience through internships, student projects, research work, or entry-level roles in data engineering, analytics, software development, or related technology fields

    • Basic knowledge of SQL and relational databases, with exposure to Python, data warehousing, or business intelligence tools considered an advantage

    • Strong interest in data, analytics, and technology, with a desire to build a career in modern data engineering

    • Analytical mindset, attention to detail, and a proactive approach to problem-solving

    • A global mindset, excellent interpersonal skills, and a strong willingness to learn and grow in a collaborative environment

    • Fluency in English (written and spoken); German and/or French would be an asset

    • Eligibility to work in Luxembourg and/or the country where the position is based

    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.

    Job details are sourced from the employer's original posting.

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    About the company

    Julius Baer

    Julius Baer is a wealth management company. They focus on shaping the future of wealth management.

    View all Julius Baer jobs
    Industry
    Wealth Management
    Open roles
    35

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