Data & Analytics jobs in Zurich

Data Center Engineer

Join Proton and build a better internet where privacy is the default At Proton, we believe that privacy is a fundamental human right and the cornerstone of democracy. Since our inception in 2014, founded by a team of scientists from CERN, we have dedicated ourselves to providing free and open-source technology to millions worldwide, ensuring access to privacy, security, and freedom online.Our journey began with Proton Mail, the largest secure email service globally, and has since expanded to include Proton VPN, Proton Calendar, Proton Drive, and Proton Pass. These tools empower individuals and organizations to take control of their personal data, break away from Big Tech’s invasive practices, and defeat censorship. Our work impacts hundreds of millions of lives, from activists on the front lines defending freedom to leaders in governments protecting sensitive information. In some cases, Proton’s services have even been instrumental in saving lives by enabling secure and private communications in high-risk situations. Proton is a profitable company that does not rely upon VC funding, supporting over 100 million user accounts with a growing team of over 500 people from over 50 different countries, from the world's top companies and universities. We value intelligence, learning potential, and ambition in our hiring process. Adaptability is key as we navigate uncharted territories and redefine how business is conducted online. Hiring at Proton is highly selective, with less than 1% of candidates hired. We believe smaller teams of exceptional talent will always prevail over larger teams with lower talent density. You will have the opportunity work with many of the world's top minds in their fields, ranging from former international math and science olympiad winners to chess champions. We have a global mindset and big ambitions but remain a start-up at heart. We value empowerment and flexibility and keep our structure flat to keep moving fast and avoid unnecessary politics. Tired of blending into the crowd? Join us and do work you can truly be proud of. Check our open-source projects here! The team: You will be joining the Data Center and Hardware Team.  At Proton, we operate our own private cloud infrastructure, which is distributed across multiple data centers and regions. This infrastructure, built primarily on open-source technology, is doubling every year and requires 24/7 operation. Join our Team at Proton, where you will play a vital role in ensuring the smooth operation, scaling and maintenance of our private cloud infrastructure.  Purpose of the role As a Data Center Engineer, you will be responsible for monitoring, troubleshooting, scaling and optimizing our infrastructure systems to ensure their reliability, cost efficiency and performance. You will collaborate closely with our IT team, network engineers, and system administrators to identify and resolve any issues, as well as propose and implement new innovations. You will work with cutting-edge infrastructure platforms and collaborate with a talented team of humans passionate about technology. What you will do ●    Server stacking and cabling installation in our rooms●    Performing HW troubleshooting and basic HW repairs for Servers and Network equipment (PSU, Network cards, CMOS batteries, Memory, Optics...)●    Diagnostic and repair of defective network fiber links and interfaces●    Coordinate logistics for new hardware and parts procurement●    Supervision Data Center remote hands contractors, work orders plan and execution for local and remote sites●    Management of material stock and purchases: Working together with our procurement teams to ensure all needed parts are available for the Data Center operations●    Data center environment monitoring●    Help run HW selection validation test, performance tuning and benchmarking as a pair of HW sourcing Job requirements ●    Experience racking and cabling servers with high standards●    Experience with HW troubleshooting●    Good understanding of Data Center infrastructure ( racks, cabling, power, cooling)●    Computer hardware architecture knowledge●    Basic user experience of configuration management tools and version control systems  ●    Ability to track and communicate the status of different projects●    Ability to keep up in an extremely fast-paced environment●    Good communication skills and ability to work in a multicultural environment●    Availability to travel to different locations for short-term projects●    Work proficiency in English Bonus points for:  ●    Linux user or admin experience and scripting skills●    Advance HW repairs experience ●    Project management experience●    DCIM experience as user or administrator●    HW provisioning, burn-in and validation experience ●    Electrical engineer background Even if you don’t meet all the requirements listed above, but feel you could still be a great fit, please still apply. What We Offer Office First: Collaboration is easier and more effective in person, which is why we have offices in Geneva, Zurich, Prague, Barcelona, Paris, London, Vilnius, Skopje, and Taipei. You can also enjoy working from home up to 30% of the time, while enjoying great company during our three core days in the office. Depending on the role, fully remote positions may also be available. Technology: We provide all the devices and software you need to excel in your role, ensuring you have the best tools at your disposal to achieve your goals. Food: Lunch and snacks are provided by Proton every day at our offices. Transport: We will always support our employees with transport costs through subsidizing public transport, bike allowances, or parking spaces based on your office location. Stock Options: At Proton, we are all owners of the company and you get stock options when you join us. Flexible Working: You can define your own working hours as long as it works with team meetings. Learning and Development: We are committed to your professional growth. Proton offers various learning opportunities, including training programs, conferences and events, and continual learning. Employee Benefits: Comprehensive health insurance plans, competitive retirement savings options, generous vacation and leave policies, and wellness programs. Work that Matters: Proton is a community-first organization, started with the support of a crowdfunding campaign and built with community input. To this day, Proton’s only source of revenue is user subscriptions. Over 100 million people trust and support Proton, and we put our users and community first in everything we do. Read more about our impact here. Our Commitment to Diversity and Inclusion At Proton, we believe diversity drives innovation and strengthens our mission to provide privacy as a default for all. We are committed to fostering an inclusive environment where all individuals, regardless of race, ethnicity, gender, age, sexual orientation, physical ability, or socio-economic background, feel valued and empowered. We strive to create equal opportunities, promote open dialogue, and support continuous learning to ensure every voice is heard and respected. If you need any extra support or reasonable adjustments during the hiring process, please let your talent partner know. Candidate Privacy Notice When you apply for a position, refer a candidate, or are considered for a role at Proton Technologies AG (Proton, we, us, or our), your information is stored in Greenhouse, in accordance with their Service Privacy Policy. This information is used to evaluate your suitability for the posted position. We also retain this information for consideration for future roles that you may apply for or that we believe may align with your background and skills. If we no longer have a legitimate business need to process your information, we will either delete or anonymize it. Should you have any inquiries about how we use or manage your information, or if you wish to access, correct, or delete your data, please contact our privacy team at careers@proton.ch. Proton does not accept unsolicited resumes from any sources other than directly from candidates. We will not pay a fee for any placement resulting from an unsolicited offer, even if the candidate is subsequently hired by Proton. To learn more about our privacy policy, please visit our privacy policy page. #LI-ONSITE

Engineering Operations Technician, Data Center, DCEO

We are looking for a Data Center Engineering Operations Technician to join our expanding team in Switzerland. As an Data Center Engineering Operations Technician, you'll independently troubleshoot and maintain electrical and mechanical systems, and respond to operational issues with minimal supervision. Your work will help maintain one of the world's largest information system infrastructures. If you enjoy hands-on problem solving in a process-driven environment, we'd like to meet you!Switzerland based candidates only (valid work permit required).Key job responsibilitiesOn-site management of contractors, sub-contractors and vendors, ensuring that work performed is in accordance with established practices, procedures & local legislation.Maintain performance benchmarks, & prepare reports on all aspects of the critical facility infrastructure operations & maintenance.Generate Change Management requests & Incident Management tickets as directed.Learn and contribute to documentation relevant to business & facility operations.Assist with rack installation and the provision of power/cooling.Become involved with routine maintenance and emergency services on critical systems such as: switchgear, generators, UPS systems, power distribution equipment, cooling equipment, building monitoring systems, etc.Assist and learn about the design, implementation, commissioning and build out of new facilities.Assist with the management of facility assets.Participate in Construction & Operational Meetings as required.Assist with Work Order compliance and review of contractual SLAs.Interface with Infra Ops teams for day to day operational requirements.Assist in the resolution of any infrastructure engineering or services issue.Delivery of exceptional customer service and satisfaction.Meet daily hours of operations, on-call requirements for response outside of hours and potential future shift rotations.A day in the lifeYour day-to-day activities will include:Monitoring alarms and systems that manage power, cooling, and fire suppression in the data center.Coordinating vendor work on-site to ensure equipment is maintained and uptime is preserved.Supporting other teams and sites during events and planned works.Handling rack installations and powering up equipment.Monitoring and facilitating the handover of new equipment.Sharing knowledge and supporting new team members.Participating in event response drills.About the teamAt AWS, we value diverse experiences. Even if you don’t meet all of the qualifications, we encourage you to apply. We welcome candidates from all career paths, regardless of your professional journey. Basic qualifications- Experience with electrical or mechanical systems, or equivalent- Knowledge of data center infrastructure including mechanical, electrical, controls and life safety systems- Familiarity with reading technical documentation and drawings- Computer literacy with Windows and common business applications- Fluency in English- Valid Swiss work permit required- Electrical or Mechanical Engineering diploma or equivalent- Knowledge of mechanical systems (Mechanical, HVAC systems, Controls), or knowledge of key electrical competencies and theory Preferred qualifications- Experience in mission critical facilities (data center, oil and gas, marine industries, production or medical facilities)- Diploma or Degree in relevant technical field- Swiss electrical switching certification- Fluency in GermanAmazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Principal Engineer - Data Retrieval

NVIDIA is seeking an engineering lead to architect and scale the data acquisition infrastructure that powers our foundation models. Starting with code and STEM data for Nemotron, you will build the systems that discover valuable sources, crawl the open web at scale, and deliver reliable, high-quality data to training pipelines. This is a hands-on technical leadership role spanning distributed systems, crawl infrastructure, and third-party data ingestion. You will own the architecture of a unified platform covering source discovery, URL indexing, crawl frontiers, predictive ranking, scheduling, distributed fetching, and ingestion. We have existing infrastructure to build on, and the goal is to bring it to pretraining scale and extend it to additional model families, modalities, and acquisition workflows over time. Along the way, you will lead architecture reviews and critical implementation work, mentor engineers, and help build the team.What you’ll be doing:Work with storage and scaling teams to design scalable frontier storage and queueing systems with high-throughput writes, efficient lookups, deduplication, and scheduling based on data quality, diversity, and freshness. Build a continuous discovery loop that extracts links and feeds new candidates back into the crawl frontier.Develop a shared crawl execution layer that fetches reliably and politely at scale, handling dynamic websites while keeping resource use under control.Build extensible pipelines for open-web, licensed, and partner content, including text, PDFs, code repositories, and multimodal assets. Define stable interfaces for source connectors so teams can add sources without rebuilding the platform.Partner with parsing and curation teams to preserve valuable code, math, and structured content, and improve accepted data yield.Implement provenance and policy enforcement with legal, privacy, security, and data governance partners. Translate approved publisher preferences, opt-outs, licensing terms, and use restrictions into auditable controls that follow the data downstream.Own production readiness, including capacity planning, observability, fault tolerance, recovery, and cost efficiency. Instrument the pipeline end to end and set service objectives for throughput, freshness, reliability, and meeting training cutoffs.Work with research and product teams to evaluate internal crawls and external datasets through comparable pilots. Deliver reproducible data releases that tie source coverage and processing quality to controlled training experiments.Coordinate dependencies across teams and make clear tradeoffs between immediate data delivery and long-term platform development.What we need to see:A BS, MS, or PhD in Computer Science, Computer Engineering, or a related technical field, or equivalent experience.15+ years of relevant experience in software engineering, including designing and operating large-scale distributed systems, setting technical direction, and delivering complex infrastructure across multiple teams.Deep experience with web crawling or closely related discovery, indexing, or ingestion infrastructure, including distributed scheduling, stateful services, storage, and high-throughput data processing.Strong hands-on engineering and system design skills. Ability to move between architecture, implementation, performance analysis, and production debugging.Experience building batch or streaming pipelines and reasoning about consistency, retries, duplicate processing, backpressure, and recovery. A track record of improving throughput, latency, resource efficiency, or operational reliability.Experience delivering data platforms for research, ML, search, or other demanding technical users. Ability to translate evolving requirements into clear interfaces and measurable engineering outcomes.Strong technical communication and leadership through influence across engineering, product, research, and governance teams.Ways to stand out from the crowd:Experience architecting a web-wide crawl platform, scaling crawl frontier storage, or consolidating multiple acquisition systems into shared infrastructure.Direct experience supplying foundation-model pretraining data, including targeted discovery, quality-aware crawl ranking, and acquisition of code or technical content.Experience implementing publisher consent, training-use opt-outs, dataset licensing controls, or provenance infrastructure at scale.Background with browser-based or agentic data collection, programmable extraction, and sandboxed environments for tool-use data or post-training evaluation.Experience onboarding licensed or multimodal datasets, building reusable partner integrations, or delivering streaming feeds with low latency for retrieval and grounding.The platform is a core capability for NVIDIA’s AI models and directly shapes the reach and quality of our training data. If you enjoy solving difficult distributed systems problems and building platforms that other teams depend on, we want to hear from you.

Lead Forward-Deployed Engineer (Data Application)

Salary: CHF 135'000 - 150'000 per year Requirements: 8+ years of overall experience, including at least 3 years in rapid prototyping or forward-deployed rolesStrong proficiency in AI-native application development, including code generation and agentic coding assistantsExpertise in rapid prototyping using PythonSolid understanding of application and API design principles for new featuresExcellent client-facing technical communication skillsFamiliarity with Anthropic Claude or AWS AI PractitionerEnglish language proficiency at B2 level or higher Responsibilities: Work directly with client business and product owners to scope new application features and create rapid prototypesUse AI natively throughout development, including code generation, automated testing, and iterative buildBuild, refine, and deliver functional prototypes with a focus on short feedback loopsPrepare validated prototypes for transfer into standard build processes with engineering teamsEvaluate and confirm technical feasibility of new application features adopting AI-native approachesAct as a primary technical contact for client teams during early-stage development phasesContribute AI-native engineering practices and reusable patterns to internal teams Technologies: AIAPIAWSClickHousePythonSnowflakeCloud More: Were looking for a Lead Forward-Deployed Engineer (Data Applications) to join our team in Broader Zurich area, Switzerland in a hybrid working mode. This role offers an opportunity to shape AI-driven development practices by creating rapid, intelligent prototypes that accelerate delivery. You will collaborate directly with business and product stakeholders to turn ideas into functional application concepts that transition seamlessly into production-ready builds.We offer/Benefits- 5 weeks of vacation- EPAM Employee Stock Purchase Plan (ESPP)- Enhanced parental leave- Extended pension plan- Daily sickness allowance insurance- Employee assistance program- Global business travel medical and accident insurance- Learning and development opportunities including in-house training and coaching, professional certifications, and courses*All benefits and perks are subject to certain eligibility requirements- Please note that any offers will be subject to appropriate background checks- We do not accept CVs from recruiting or staffing agencies- For this position, we are able to consider applications from the following: - Swiss nationals - EU/EFTA nationals - Third-country nationals based in Switzerland with an appropriate work permit - Displaced people from Ukraine who are currently in Switzerland and hold, or have already applied for, S permits last updated 44 week of 2026

Lead Forward-Deployed Engineer (BI)

Salary: CHF 135'000 - 155'000 per year Requirements: Overall experience of eight or more years, including four or more in BI and visualization engineeringExperience of two or more years in forward-deployed or solution engineering rolesAdvanced BI and visualization development expertise, including dashboarding and semantic modelingStrong proficiency with Microsoft Power BIExperience with AI-assisted or agentic development toolsProven client-facing technical leadership skillsFamiliarity with Anthropic Claude or Amazon BedrockEnglish proficiency at CEFR B2 level Responsibilities: Lead client engagement on complex reporting and insight challengesDefine rapid AI-assisted BI prototypesBuild and refine dashboards and natural-language-driven reporting solutions using iterative, client-focused feedback loopsAssess technical feasibility and contribute to the design of next-generation AI-native BI approaches such as conversational analyticsTransition validated prototypes into standard build workflows in collaboration with BI EngineersAct as the key escalation point for technical BI matters and ensure alignment with client expectationsManage client relationships as the senior technical liaison for BI and AI-related initiativesContribute reusable BI and agentic solution patterns to the AI Solution Engineering practice Technologies: AIBusiness IntelligenceClickHousePower BISAPSnowflake More: Were looking for a Lead Forward-Deployed Engineer (BI) to join our team in broader Zurich area, Switzerland in a hybrid working mode. This role focuses on delivering AI-native business intelligence and visualization solutions for the client. You will shape innovative BI strategies through rapid prototyping, working closely with client stakeholders to deliver impactful reporting and analytics solutions that drive valuable insights for the business.We offer/Benefits- 5 weeks of vacation- EPAM Employee Stock Purchase Plan (ESPP)- Enhanced parental leave- Extended pension plan- Daily sickness allowance insurance- Employee assistance program- Global business travel medical and accident insurance- Learning and development opportunities including in-house training and coaching, professional certifications, and courses*All benefits and perks are subject to certain eligibility requirements- Please note that any offers will be subject to appropriate background checks- We do not accept CVs from recruiting or staffing agencies- For this position, we are able to consider applications from the following: - Swiss nationals - EU/EFTA nationals - Third-country nationals based in Switzerland with an appropriate work permit - Displaced people from Ukraine who are currently in Switzerland and hold, or have already applied for, S permits last updated 44 week of 2026

Lead Forward-Deployed Engineer (Data platform)

Salary: CHF 135'000 - 150'000 per year Requirements: 6+ years of professional experience with 2+ years in platform engineering or forward-deployed solution engineering rolesProven expertise in Snowflake and ClickHouseStrong proficiency in dbt and FivetranHands-on experience leveraging AI-assisted or agentic development toolsAbility to analyze platform performance and optimize architectures for scalability and speedExperience with AWS Data StackFamiliarity with tools such as Anthropic Claude or AWS BedrockProfessional fluency in English Responsibilities: Continuously assess platform performance and identify bottlenecks or inefficiencies for improvementEmbed AI and agentic tooling in platform environments to enhance speed, reliability and cost-effectivenessPrototype new platform capabilities across ingestion, transformation and query workflowsValidate prototypes directly with end users prior to transferring into the build processOwn technical feasibility assessments for emerging AI-driven and agentic optimization opportunitiesHarden validated prototypes for delivery and integration into standard pipelines with Data Platform EngineersContribute reusable optimization patterns to the AI Solution Engineering practice Technologies: AIAWSClickHouseFivetranPostgreSQLSecuritySnowflakedbtCloud More: We are looking for a Lead Forward-Deployed Engineer (Data platform) to join our team in boarder Zurich area, Switzerland in a hybrid working mode. In this role, you will contribute to a large-scale international IT engagement focused on modern data platforms, security, business applications and IT operations. You will join the Data track, collaborating with Data Architects, BI Engineers and Business Analysts while working closely with an onsite delivery lead. Your focus will be on optimizing and enhancing a modern data platform built on technologies such as Snowflake, ClickHouse, dbt, Fivetran and AWS-native data services. Additionally, you will embed AI and agentic tooling where practical value is measurable, prototype new platform capabilities and validate improvements with users before development handoff.We offer/Benefits- 5 weeks of vacation- EPAM Employee Stock Purchase Plan (ESPP)- Enhanced parental leave- Extended pension plan- Daily sickness allowance insurance- Employee assistance program- Global business travel medical and accident insurance- Learning and development opportunities including in-house training and coaching, professional certifications, and courses*All benefits and perks are subject to certain eligibility requirements- Please note that any offers will be subject to appropriate background checks- We do not accept CVs from recruiting or staffing agencies- For this position, we are able to consider applications from the following: - Swiss nationals - EU/EFTA nationals - Third-country nationals based in Switzerland with an appropriate work permit - Displaced people from Ukraine who are currently in Switzerland and hold, or have already applied for, S permits last updated 44 week of 2026

Big Data Test Manager - Enterprise Data Lakehouse

Salary: CHF 135'000 - 160'000 per year Requirements: Proven experience managing testing within large-scale enterprise data platforms, such as Data Lakes, Data Lakehouses or modern Data Warehouses (ideally in highly regulated environments like Banking)Strong understanding of data testing vs. traditional application testing, with hands-on expertise in data quality validation, reconciliation, schema drift and data lineageHands-on experience in test automation for data pipelines, APIs and data platform services using industry-standard tools and scripting frameworksExperience coordinating integration and regression testing across distributed, multi-application environments without direct ownership of downstream systemsFamiliarity with modern data platform infrastructure and operations, including Kubernetes, S3 Object Storage and containerized DevOps pipelinesExperience implementing and scaling test automation frameworks designed specifically for high-volume data validation and pipeline testing (as opposed to standard UI-centric automation)Excellent stakeholder management and communication skills to lead testing in global, regulated environmentsHigher education in Computer Science, Engineering or related field preferredEnglish proficiency required; German language skills are an advantage Responsibilities: Define and lead the end-to-end test strategy for a large-scale enterprise Data Lakehouse program supporting banking data products and platform servicesLead the end-to-end test strategy for our clients enterprise-level Data Lakehouse program, ensuring the validation of complex ETL/ELT pipelines, transformations and downstream banking data productsDrive and design test automation initiatives specifically tailored for the clients data validation, data quality reconciliation and pipeline execution within Kubernetes-based CI/CD environmentsEnsure robust test data management and coordinate integration testing across the clients 70+ connected consuming applications and globally distributed environmentsOversee testing for two key areas, Data pipelines and banking domain data products and Platform-as-a-Service capabilities for the Data LakehouseEstablish test governance, entry/exit criteria, defect management processes and quality standards across multiple workstreamsCollaborate with data engineers, platform teams, product owners and application owners to resolve cross-functional issues and influence test coverage alignmentDrive production readiness and release validation activities for platform and data ecosystem changes Technologies: Big DataCI/CDDevOpsETLKubernetesUX UI Design More: We are looking for a Big Data Test Manager to join our team in Zürich, Switzerland in a hybrid working mode. In this role, you will define and lead the end-to-end test strategy for a large-scale enterprise Data Lakehouse program supporting banking data products and platform services. This position requires a strong understanding of data platform testing, high-quality delivery and the ability to coordinate across a globally distributed team in a regulated environment.We offer/Benefits- 5 weeks of vacation- EPAM Employee Stock Purchase Plan (ESPP)- Enhanced parental leave- Extended pension plan- Daily sickness allowance insurance- Employee assistance program- Global business travel medical and accident insurance- Learning and development opportunities including in-house training and coaching, professional certifications, and courses*All benefits and perks are subject to certain eligibility requirements- Please note that any offers will be subject to appropriate background checks- We do not accept CVs from recruiting or staffing agencies- For this position, we are able to consider applications from the following: - Swiss nationals - EU/EFTA nationals - Third-country nationals based in Switzerland with an appropriate work permit - Displaced people from Ukraine who are currently in Switzerland and hold, or have already applied for, S permits last updated 44 week of 2026

Technical Lead (Data Applications and BI)

Salary: CHF 135'000 - 155'000 per year Requirements: 6+ years of experience in data or BI engineering, with 2+ years as a senior technical lead in production support environmentsDemonstrated expertise in managing application and BI systems in Run/production contextsStrong experience with Microsoft Power BI, including dashboard and reporting operationsProven leadership in incident command and root cause analysis (RCA)Hands-on knowledge of monitoring and observability tools for application and BI stacksExperience in technical mentoring of engineers across multiple disciplinesEnglish language fluency at B2 level or above Responsibilities: Serve as the senior technical escalation point for incidents across Data Applications, BI and visualization domainsLead P1/P2 incident resolution, own root cause analysis and coordinate fixes among cross-functional teamsDefine and maintain Run technical standards including monitoring, alert thresholds, runbooks and on-call processesReview and approve technical changes entering production, including application releases and dashboard/report updatesIdentify systemic reliability gaps, prioritize remediation and build an automation backlog for Run operationsMentor Data Engineers and BI Engineers, setting a high technical standard and advancing best practicesReport on production health, RCA trends and reliability metrics to the Data Program ManagerDrive adoption of observability and incident management best practices across teams Technologies: AICloudIncident ManagementSupportPower BISnowflake More: Were looking for a Technical Lead to join our team in broader Zurich area, Switzerland in a hybrid working mode. You will work as part of an international delivery team operating in a complex enterprise IT environment. In this role, you will act as the senior technical authority for production health, reliability and incident resolution across application-layer data services and BI solutions. You will collaborate closely with Data Architects, BI Engineers, Data Reliability Engineers and other stakeholders to ensure resilience, performance and compliance for business-critical data systems and reporting platforms.We offer/Benefits- 5 weeks of vacation- EPAM Employee Stock Purchase Plan (ESPP)- Enhanced parental leave- Extended pension plan- Daily sickness allowance insurance- Employee assistance program- Global business travel medical and accident insurance- Learning and development opportunities including in-house training and coaching, professional certifications, and courses*All benefits and perks are subject to certain eligibility requirements- Please note that any offers will be subject to appropriate background checks- We do not accept CVs from recruiting or staffing agencies- For this position, we are able to consider applications from the following: - Swiss nationals - EU/EFTA nationals - Third-country nationals based in Switzerland with an appropriate work permit - Displaced people from Ukraine who are currently in Switzerland and hold, or have already applied for, S permits last updated 44 week of 2026

Data Scientist 100% (f/m/d)

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 CHALLENGELead and support data analytics and business intelligence initiatives to success, with focus on Non-Financial Risk (e.g., Anti-Money Laundering (AML), Client Review, Fraud or Sanctions)Collaborate with internal IT and external providers to conduct in-depth analyses and identify best-in-class solutions by leveraging latest technology as well as the Compliance Analytics & Transformation in-house built infrastructureDesign, develop, monitor and document predictive models following industry best practices and sound theoretical foundationWork closely with senior stakeholders to design quantitative solutions using different analytical principles to optimise various banking processesAssess and manage change requests raised by the businessExecute regular and ad-hoc analysis and reportsYOUR PROFILEMaster or Bachelor’s degree from a university of applied sciences in STEM fields (science, technology, engineering, mathematics)At least 5 years of Banking experience with focus on Compliance, Risk Management and LegalProven experience in managing audit and regulatory expectationsStrong communication skills with the ability to decompose complex solutions and data insights into a compelling storyline for the rest of the organisationAs an agile worker, you enjoy working in a fast-paced environment where things evolve quicklyEnthusiastic about leveraging data and statistics to solve complex problemsCurious to learn new things and apply out-of-the-box thinking to challenge the status quo and proactively propose new solutionsTeam-oriented and enjoy collaborating with diverse experts, listening to different ideas and voicing your own, to deliver the best possible outcomeStrong database programming skills (e.g. SQL)Proficient in programming (e.g. in Python, R, or Java)Experience in project management or business analysisFluent in English (main business language), any further language is an advantageWe are looking forward to receiving your full job application through our online application tool. Further interesting job opportunities can be found on our Career site. Is this not quite what you are looking for? Set up a job alert by creating a candidate account here.

Data Platform Responsible 100% (f/m/d)

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. As a Data Platform Responsible (PR) you are responsible for the end-to-end technical leadership and lifecycle management of a global data platform (datalake house) ensuring alignment with business needs, architecture standards, and operational resilience. Working closely with Product Owners, Platform Owner, System Architects, and IT Service Owners, the Platform Responsible supports technical decision-making, oversees solution design and drives technical decision-making, responsible for successful development execution, and ensures production readiness and release planning within defined frameworks. The role combines hands-on technical oversight with supplier management, risk assessment, quality assurance, and deep involvement in agile delivery and incident support.YOUR CHALLENGEYou are key technical stakeholder in the technical design of a Global Platform based on a modern infrastructureYou are part of the agile setup and support development teamLead the technical design, development, and operational performance of the platform, ensuring full lifecycle management and compliance with corporate standardsContribute to platforms technical roadmap, including technology changes, modernisation, and decommissioning, in alignment with business and architectural strategiesOwn and contribute to key deliverables including Solution Design, Security Concept, and Interface Agreements; ensure adherence to architecture standards in collaboration with the System ArchitectPlan and coordinate application releases in line with Change- and Release Management processes, jointly deciding on production go-live with the Product Owner, Platform Owner and ITSOSupervise platform infrastructure and data development activities, promote “shift-left” practices (automation, unit testing, CI/CD), and ensure robust implementation of functional and non-functional requirementsProvide 3rd level support, serve as master data custodian in JBAR, and lead supplier management for third-party applications, including performance and delivery oversightEstimate effort for changes, advise on technical risks and mitigation, support budgeting, and ensure technical requirements are properly validated and tested prior to releaseYou feel responsible for the global data platform which serves global data for different analytics use cases and ensure a running and stable environmentSupport the System Architect in the raising and maintenance of technical debtsSupport Business Responsible and IT Product Owner in shaping platform service and its executionCollaboration with support teams in Asia to ensure enhanced support hoursYOUR PROFILEAt least 8 years of experience in Data Platforms / Data Lakes / Data Lake houses (Kubernetes, Kafka, Distributed Storage like S3/HDFS) – preferably On prem.Several years of work experience in a similar capacity in the financial industryExperience in leading technical direction of data platforms, keeping up to date with the modern possibilities of tooling, formats, concepts.Experience in managing the full platform lifecycle, from concept and design through development, testing, deployment, operation, and eventual retirement, including responsibility for master data, incident support, and release coordinationVM setup and scaling (pods), K8S scaling, managing Docker with Harbor, pushing Images through CI/CD together with development teamHigher Education in Computer Science (University, University of Applied Sciences or equivalent diploma)Very strong communication and planning / coordination skillsWillingness to bring in new ideas and initiate changes and sees themselves as proactive, reliable and solution drivenGood English language skills (written and verbal), German a plusStrong team player Customer oriented with focus to support an organisation in providing solutionsVery good understanding of data technology and its operational managementVery high level on self-motivation to drive initiatives and initiating changesWe are looking forward to receiving your full job application through our online application tool. Further interesting job opportunities can be found on our Career site. Is this not quite what you are looking for? Set up a job alert by creating a candidate account here.