5 data governance jobs found in Zürich

P-1127 At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. The Delta DML team owns the core write-path operations for Delta Lake, the open-source storage layer behind the Databricks Lakehouse. Our mission is to deliver industry-leading...

About Me Liom is a Swiss health-tech startup dedicated to revolutionizing the field of personalized health monitoring. Our objective is to develop the first health wearable monitoring glucose non-invasively. We will launch our wearable as a consumer product in the United States and Europe in 2028. Our team consists of over 35 staff, with deep expertise in product development, and the required engineering as well as scientific disciplines. We are operating out of our lab facilities in Pfäffikon SZ, Switzerland. Your mission Liom is preparing to 100× its data acquisition capacity. Our visual health‑data—combined with rich metadata—is the foundation for real‑world clinical insights and downstream data‑science models. To support this next phase of growth, we are building a new data platform on Google Cloud that can scale with our ambitions. As a Data Engineer, you will take ownership of how Liom ingests, structures, validates, and operationalises data across the company....

RDQ127R176 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe...

Crypto Finance Group, part of Deutsche Börse Group, provides professional digital asset solutions to institutional clients. The Group comprises Crypto Finance AG, regulated by FINMA in Switzerland, offering trading, custody, and wallet services, as well as Crypto Finance (Deutschland) GmbH, regulated by BaFin in Germany, offering trading and custody services. In January 2025, Crypto Finance secured a MiCAR license for the European market as one of the first providers in the EU. Crypto Finance AG is a SIX-approved crypto custodian for ETP issuers. For more information, please visit our website at About us - Crypto Finance We are currently looking for a AI Engineer. In the role, you will work closely with internal stakeholders, and the starting date is as soon as possible at our office on the 24th floor of the Prime Tower in Zurich Responsibilities AI & Automation Engineering Work with stakeholders across Compliance, Trading, Operations, Legal, Sales, and...

100% | Lucerne | Home office possible With us, you can contribute your AI and infrastructure expertise and actively shape the development of our central, hybrid AI platform. You can expect structured onboarding, an experienced team with a "can-do" attitude, and an environment that highly values ​​innovation, personal responsibility, and professional development. Your tasks Together with the team, you will identify AI potential, conduct feasibility studies, and develop viable solutions for specialist departments and internal teams. You independently develop AI applications (e.g., mail assistant or log management) using PyTorch and Python, and bring them into production. Your responsibilities include the design and implementation of RAG systems, system prompts, guardrails, and the integration of MCP servers. Working closely across teams with IT security, network, and platform teams, you ensure that AI services are provided securely, efficiently,...