5 head of business intelligence jobs found in Zürich

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...

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...

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. Do you aspire to be part of a high performing Analytics and Transformation team within a global Compliance organisation at the forefront of the wealth management industry? In this diverse role you will implement new technologies, manage change initiatives, develop predictive models, and perform financial and economic analysis to increase the efficiency and effectiveness of risk management. Working alongside Risk, Compliance, Analytics and Legal SMEs in highly skilled, fast-paced teams you will drive business value through collaboratively solving complex analytical problems. YOUR CHALLENGE Lead and support data analytics and business intelligence initiatives to success, with focus on Non-Financial Risk (e.g., Anti-Money Laundering (AML),...

As a leading global software product company in the field of Compliance & Automation, IMTF Group develops cutting-edge RegTech solutions with a strong focus on Anti-Money Laundering (AML), Know Your Customer (KYC), and Anti-Fraud. Our mission is to streamline compliance processes and reduce manual effort through the intelligent use of machine learning and data science – helping our clients stay ahead in an increasingly complex regulatory environment. At IMTF Group, we value innovation, excellence, and continuous learning. We foster a dynamic and collaborative work culture where your ideas are heard, and your contributions make a real difference. To strengthen our engineering team and continue delivering high-quality solutions to our clients, we are looking for a   Mid-Level Backend Software Engineer (f/m/d)   to join either our Bensheim office in Germany or our Zurich office in Switzerland. Responsibilities Develop and maintain backend services for products used...

The team you will join, Proteus, is building a product that powers the model-based work of our internal sector experts: scientists and domain specialists who understand environmental data deeply but are not software engineers. Your job is to build the tooling they use, mentor them in software practice, and help them own production end-to-end. This is hands-on engineering work with a coaching element. You will write production-quality Python, build and maintain data pipelines, collect requirements from domain experts directly, and help people who are not from a software background ship work they can be proud of. This is not a role where requirements land neatly in a ticket and you implement them in isolation. It is not a heads-down engineering position with no stakeholder interaction. If you prefer a fully defined process and minimal ambiguity, this will not work for you. What you will be working on Design and build Python tooling that sector experts use to implement...