Internship - Data Engineer - Optimization of Data Delivery
Bank Lombard Odier & Co
A career at Lombard Odier means working for a renowned global wealth and asset manager, with a strong focus on sustainable investing. An innovative bank of choice for private and institutional clients, our independently owned Firm is one of the best-capitalised banking groups in the world, managing close to CHF 300 billion and operating from over 25 offices across 4 continents.
With a history spanning over 230 years, Lombard Odier is an investment house providing a comprehensive offering of discretionary and advisory portfolio management, wealth services and custody. We also offer asset management services and investment strategies through Lombard Odier Investment Managers and provide advanced banking technology to other financial institutions. "Rethink Everything" is our philosophy - it is at the heart of everything we do. We have grown stronger through more than 40 financial crises by rethinking the world around us to provide a fresh investment perspective for our clients. Internship - Data Engineer - Optimization of Data Delivery Modern organizations depend on fast, reliable and secure access to high-quality data. As the volume and diversity of information grows, ensuring efficient data delivery becomes increasingly important. This internship focuses on understanding how data is consumed across the organization and helping define a future-state operating model for data distribution. YOUR ROLE- Analyse current data consumption patterns and propose improvements that increase efficiency, consistency and scalability across the bank.
- Map existing data distribution channels.
- Meet business and technology stakeholders.
- Analyse usage patterns and operational challenges.
- Identify optimization opportunities.
- Prepare recommendations and implementation plans.
- Support selected improvement initiatives.
- Master's student in Data Engineering, Computer Science or Information Systems.
- Interest in data platforms and data governance.
- Strong analytical skills.
- Good communication abilities.
- Residence in Switzerland or willingness to relocate
- Exposure to enterprise data ecosystems.
- Cross-functional interactions with business and IT teams.
- Strategic and operational perspective on data management.
- Opportunity to influence future data practices.
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