Internship - Data Engineer - Optimization Of Data Delivery
Vor 24 Stunden
Zug ZG, Kanton Zug, Schweiz
Lombard Odier
Vollzeit
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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. Internship – Data Engineer
- Optimization of Data Delivery Modern organizations depend on fast, reliable and secure access to high-quality data. This internship focuses on understanding how data is consumed across the organization and helping define a future-state operating model for data distribution. Analyse current data consumption patterns and propose improvements that increase efficiency, consistency and scalability across the bank. Master's student in Data Engineering, Computer Science or Information Systems. Cross-functional interactions with business and IT teams. We firmly believe that building Diverse Teams contributes to our successes and to deliver on this, we actively embed Diversity, Equity and Inclusion in our business strategy. It is an exciting time to join our Teams.
- Optimization of Data Delivery Modern organizations depend on fast, reliable and secure access to high-quality data. This internship focuses on understanding how data is consumed across the organization and helping define a future-state operating model for data distribution. Analyse current data consumption patterns and propose improvements that increase efficiency, consistency and scalability across the bank. Master's student in Data Engineering, Computer Science or Information Systems. Cross-functional interactions with business and IT teams. We firmly believe that building Diverse Teams contributes to our successes and to deliver on this, we actively embed Diversity, Equity and Inclusion in our business strategy. It is an exciting time to join our Teams.