About Swiss Re Corporate Solutions Swiss Re Corporate Solutions is the commercial insurance arm of the Swiss Re Group. We provide innovative insurance solutions to large and midsized multinational corporations worldwide, helping our clients manage risk
About Swiss Re Corporate Solutions Swiss Re Corporate Solutions is the commercial insurance arm of the Swiss Re Group. We provide innovative insurance solutions to large and midsized multinational corporations worldwide, helping our clients manage risk
Company Description Founded and headquartered in Switzerland, Avaloq is continuously expanding its global footprint with around 2,500 colleagues in 12 countries, and more than 170 clients in 35 countries. We are an industry-leading provider of wealth
The role: We are looking for an Expert Data Engineer with strong expertise in Snowflake to design, build and optimize a modern cloud data platform. You will collaborate with data architects, analysts and business stakeholders to deliver
Company Description Nexthink is the leader in digital employee experience management software. The company provides IT leaders with unprecedented insight allowing them to see, diagnose and fix issues at scale impacting employees anywhere, with any application
At Machine Learning Architects Basel (MLAB), we assist and empower people and organizations in designing, building, and operating reliable data and machine learning solutions. In doing so, our data and AI journeys and effective solution patterns enable
Company Description Founded and headquartered in Switzerland, Avaloq is continuously expanding its global footprint with around 2,500 colleagues in 12 countries, and more than 170 clients in 35 countries. We are an industry-leading provider of wealth
Strategic Research Operations Location: Lausanne, Switzerland Work model: Hybrid / Full time 100% Contract type / duration: Permanent Shape the future through scientific breakthroughs and innovation. As a Lab Data Technology Specialist at Nestlé Research within
Job Description Are you passionate about data, problem-solving, and turning complex information into clear insights? Do you enjoy maintaining and improving data systems, from legacy databases to modern reporting platforms? Join our agile, self-organised team of
Country Switzerland City GENEVE Area Switzerland Workplace location GENEVE-WTC1(CHE) Employer company TOTSA TotalEnergies Trading SA Domain Information Systems Type of contract Regular position Experience Minimum 6 years Context & Environment The Advanced Analytics team is part
Role Overview We are looking for an experienced Dynamics 365 for Customer Engagement Solution Architect with experience in solution development and functional analysis into large-scale enterprise Dynamics 365 architecture with a hands-on approach in designing and leading
About Us: We are dedicated to making crypto easy and accessible for everyone. Our unique product offerings, including the European Cryptonow Brokerage Platform and Crypto Voucher Cards, have positioned us as pioneers in the industry since
The Company At lastminute.com, we live for the holidays. We are the European Travel-Tech leader in Dynamic Holiday Packages. With technology, we turn spontaneous thoughts into meaningful experiences, helping people travel the world. Job Description We
Our client’s Microsoft Business Solutions team is a Microsoft Gold Partner and leader in Microsoft software implementations for medium to large organisations, providing their clients with the ability to keep up with the ever-changing digital world
At Machine Learning Architects Basel (MLAB), we assist and empower people and organizations in designing, building, and operating reliable data and machine learning solutions. In doing so, our data and AI journeys and effective solution patterns enable
About Proton Join Proton and build a better internet where privacy is the default Proton was founded in 2014 by scientists from CERN on a simple truth: privacy is a fundamental human right . Since then,
At Machine Learning Architects Basel (MLAB), we assist and empower people and organizations in designing, building, and operating reliable data and machine learning solutions. In doing so, our data and AI journeys and effective solution patterns enable