[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-skill-kafka-ch":3,"skill-page-filters-\u002Fde-ch\u002Fjobs-by-skill\u002Fkafka":33,"job-search-\u002Fde-ch\u002Fjobs-by-skill\u002Fkafka":206,"featured-jobs-\u002Fde-ch\u002Fjobs-by-skill\u002Fkafka":408},{"image_path":4,"content_de":5,"content_en":18,"composite_key":31,"last_updated":32},"\u002Fimages\u002Fskill\u002Fkafka.webp",{"tab1":6,"tab2":9,"tab3":12,"tab4":15},{"title":7,"content":8},"Bedeutung & Relevanz","**Kafka** spielt eine entscheidende Rolle in der Schweizer Finanzbranche als führende Plattform für Echtzeit-Datenströme und Event-Processing. In der hochregulierten und datenintensiven Finanzwelt der Schweiz ermöglicht Kafka die Verarbeitung großer Datenmengen in Echtzeit, was für Handelsplattformen, Risikomanagement und Compliance-Systeme unerlässlich ist.\n\nFür Schweizer Finanzinstitute wie [Bank Vontobel AG](\u002Fcompany\u002Fbank-vontobel-ag) und [LGT Financial Services AG](\u002Fcompany\u002Flgt-financial-services-ag) bietet Kafka skalierbare Datenpipelines, die Transaktionen, Marktdaten und Kundeninformationen nahtlos integrieren. Dies unterstützt [Banking](\u002Fjobs-by-industry\u002Fbanking) und [Asset Management](\u002Fjobs-by-industry\u002Fasset-management) bei der Entscheidungsfindung und operativen Effizienz.\n\nDie Bedeutung von Kafka in der Schweiz wird durch den wachsenden Bedarf an [Data Analysis](\u002Fjobs-by-expertise\u002Fdata-analysis) und [Financial Analysis](\u002Fjobs-by-expertise\u002Ffinancial-analysis) verstärkt, wo Echtzeit-Datenströme für präzise Marktanalysen und Risikobewertungen genutzt werden. Mit Technologien wie [Python](\u002Fjobs-by-skill\u002Fpython) und [SQL](\u002Fjobs-by-skill\u002Fsql) integriert, wird Kafka zum Rückgrat moderner Finanzsysteme in der Schweiz.",{"title":10,"content":11},"Top-Branchen & Standorte","In der Schweiz ist die Nachfrage nach **Kafka**-Expertise in mehreren Schlüsselbranchen und Standorten konzentriert. Zu den Top-Branchen gehören [Banking](\u002Fjobs-by-industry\u002Fbanking), [Private Banking und Asset Management](\u002Fjobs-by-industry\u002Fprivate-banking-and-asset-management) sowie [Financial Services](\u002Fjobs-by-industry\u002Ffinancial-services), wo Kafka für Echtzeit-Datenverarbeitung und Systemintegration eingesetzt wird.\n\nDie wichtigsten Standorte für Kafka-Profis sind [Zürich](\u002Fjobs-in-zurich), das als Finanzzentrum der Schweiz zahlreiche Möglichkeiten in [Banking und Finanzdienstleistungen](\u002Fjobs-by-industry\u002Fbanking-and-financial-services) bietet. Hier nutzen Unternehmen Kafka, um Datenströme für [Market Analysis](\u002Fjobs-by-expertise\u002Fmarket-analysis) und [Risk Management](\u002Fjobs-by-industry\u002Frisk-management) zu optimieren.\n\nWeitere relevante Branchen sind [Asset Management Financial Services](\u002Fjobs-by-industry\u002Fasset-management-financial-services), wo Kafka die Skalierbarkeit und Effizienz von Datenpipelines verbessert. Die Kombination aus [Zürich](\u002Fjobs-in-zurich) als Standort und Branchen wie [Banking](\u002Fjobs-by-industry\u002Fbanking) macht die Schweiz zu einem Hotspot für Kafka-Experten.",{"title":13,"content":14},"Gefragte Skills & Arbeitgeber","Führende Schweizer Unternehmen wie [Bank Vontobel AG](\u002Fcompany\u002Fbank-vontobel-ag) und [LGT Financial Services AG](\u002Fcompany\u002Flgt-financial-services-ag) suchen nach Profis mit **Kafka**-Kenntnissen, die mit gefragten Expertisen kombiniert werden. Dazu gehören [Data Analysis](\u002Fjobs-by-expertise\u002Fdata-analysis), [Financial Modeling](\u002Fjobs-by-expertise\u002Ffinancial-modeling) und [Project Management](\u002Fjobs-by-expertise\u002Fproject-management), um Datenströme in Finanzsystemen zu managen.\n\nWeitere relevante Expertisen sind [Agile Projects](\u002Fjobs-by-expertise\u002Fagile-projects), [Process Automation](\u002Fjobs-by-expertise\u002Fprocess-automation) und [Software Engineering](\u002Fjobs-by-expertise\u002Fsoftware-engineering), die mit Kafka für die Entwicklung skalierbarer Microservices und Datenpipelines genutzt werden. Unternehmen in [Zürich](\u002Fjobs-in-zurich) setzen auf Kafka-Experten mit Skills in [Scalability](\u002Fjobs-by-expertise\u002Fscalability) und [Observability](\u002Fjobs-by-expertise\u002Fobservability), um Systemleistung und Compliance zu gewährleisten.\n\nDiese Arbeitgeber integrieren Kafka in [Banking](\u002Fjobs-by-industry\u002Fbanking)- und [Asset Management](\u002Fjobs-by-industry\u002Fasset-management)-Prozesse, unterstützt durch [Python](\u002Fjobs-by-skill\u002Fpython) und [SQL](\u002Fjobs-by-skill\u002Fsql) für Datenanalyse und -integration.",{"title":16,"content":17},"Karriere & Entwicklung","Karrierewege mit **Kafka** in der Schweiz umfassen Rollen wie Data Engineer, Software Architect oder DevOps Specialist, die in [Zürich](\u002Fjobs-in-zurich) bei Top-Unternehmen wie [Bank Vontobel AG](\u002Fcompany\u002Fbank-vontobel-ag) gefragt sind. Um Kafka zu erlernen, empfehlen sich Online-Kurse, Zertifizierungen und praktische Projekte mit [Python](\u002Fjobs-by-skill\u002Fpython) und [SQL](\u002Fjobs-by-skill\u002Fsql).\n\nEntwicklungschancen ergeben sich durch die Kombination mit [Data Engineering](\u002Fjobs-by-expertise\u002Fdata-engineering), [Microservices](\u002Fjobs-by-expertise\u002Fmicroservices) und [Streaming Services](\u002Fjobs-by-expertise\u002Fstreaming-services), die in [Banking](\u002Fjobs-by-industry\u002Fbanking)-Umgebungen eingesetzt werden. Relevante IT-Skills wie [Snowflake](\u002Fjobs-by-skill\u002Fsnowflake), [ETL Processes](\u002Fjobs-by-skill\u002Fetl-processes) und [REST API](\u002Fjobs-by-skill\u002Frest-api) ergänzen Kafka-Kenntnisse für Karrieren in [Financial Analysis](\u002Fjobs-by-expertise\u002Ffinancial-analysis) und [Project Leadership](\u002Fjobs-by-expertise\u002Fproject-leadership).\n\nDurch kontinuierliches Lernen und Anwendung in [Agile Projects](\u002Fjobs-by-expertise\u002Fagile-projects) können Profis in der Schweiz ihre Expertise in Kafka ausbauen und in Bereichen wie [Data Visualization](\u002Fjobs-by-expertise\u002Fdata-visualization) und [System Design](\u002Fjobs-by-expertise\u002Fsystem-design) vorankommen.",{"tab1":19,"tab2":22,"tab3":25,"tab4":28},{"title":20,"content":21},"Strategic Importance","Kafka has become a cornerstone technology in Switzerland's financial sector, particularly in major hubs like [Zürich](\u002Fjobs-in-zurich). As Swiss financial institutions handle massive volumes of real-time transaction data, market feeds, and customer interactions, Kafka provides the robust, scalable streaming platform needed for modern financial operations.\n\nIn Switzerland's highly regulated [Banking](\u002Fjobs-by-industry\u002Fbanking) environment, Kafka enables real-time data processing for compliance monitoring, fraud detection, and risk assessment. The technology supports critical functions across [Asset Management](\u002Fjobs-by-industry\u002Fasset-management) firms and [Banking And Asset Management](\u002Fjobs-by-industry\u002Fbanking-and-asset-management) institutions, allowing them to process millions of events per second while maintaining data integrity and audit trails.\n\nSwiss financial companies leverage Kafka for building resilient microservices architectures, enabling seamless data integration between legacy systems and modern cloud platforms. This capability is particularly valuable for institutions undergoing digital transformation while maintaining their reputation for reliability and security.",{"title":23,"content":24},"Top Industries & Locations","Kafka expertise is most sought after in Switzerland's financial epicenter of [Zürich](\u002Fjobs-in-zurich), where major financial institutions have established their headquarters and technology centers. The city's concentration of global banks, asset managers, and fintech companies creates strong demand for streaming data specialists.\n\nWithin [Banking](\u002Fjobs-by-industry\u002Fbanking), Kafka powers real-time transaction processing, customer analytics, and regulatory reporting systems. The [Asset Management](\u002Fjobs-by-industry\u002Fasset-management) sector relies on Kafka for processing market data feeds, portfolio analytics, and trade execution systems. [Banking And Asset Management](\u002Fjobs-by-industry\u002Fbanking-and-asset-management) firms use Kafka to create unified data platforms that serve both retail and institutional clients.\n\nSwitzerland's private banking and wealth management institutions leverage Kafka for client portfolio streaming, real-time risk monitoring, and personalized investment recommendation engines. The technology's ability to handle high-throughput, low-latency data streams makes it indispensable for Switzerland's world-class financial services ecosystem.",{"title":26,"content":27},"In-Demand Skills & Employers","Leading Swiss financial institutions like [Bank Vontobel AG](\u002Fcompany\u002Fbank-vontobel-ag) and [LGT Financial Services AG](\u002Fcompany\u002Flgt-financial-services-ag) actively seek professionals with Kafka expertise combined with complementary skills. These employers value candidates who can integrate Kafka with existing [Data Analysis](\u002Fjobs-by-expertise\u002Fdata-analysis) workflows and [Process Automation](\u002Fjobs-by-expertise\u002Fprocess-improvement) initiatives.\n\nSuccessful Kafka specialists in Switzerland typically possess expertise in [Data Modeling](\u002Fjobs-by-expertise\u002Ffinancial-modeling), [System Design](\u002Fjobs-by-expertise\u002Fportfolio-management), and [Project Management](\u002Fjobs-by-expertise\u002Fproject-management). They work on [Agile Projects](\u002Fjobs-by-expertise\u002Fprocess-improvement) involving [Microservices](\u002Fjobs-by-skill\u002Fpython) architectures and [Data Integration](\u002Fjobs-by-expertise\u002Ffinancial-analysis) challenges.\n\nThese professionals often collaborate on [Cross-functional Collaboration](\u002Fjobs-by-expertise\u002Fsales) initiatives, working with teams focused on [Application Security](\u002Fjobs-by-expertise\u002Frisk-management) and [Quality Assurance](\u002Fjobs-by-expertise\u002Fprocess-improvement). The combination of Kafka knowledge with [SQL](\u002Fjobs-by-skill\u002Fsql), [Python](\u002Fjobs-by-skill\u002Fpython), and [Java](\u002Fjobs-by-skill\u002Fjava) creates highly valuable skill sets for Swiss financial employers seeking to modernize their data infrastructure.",{"title":29,"content":30},"Career & Development","Building a Kafka-focused career in Switzerland's financial sector typically begins with mastering core streaming concepts and progressing to advanced architectural patterns. Professionals should develop strong foundations in [Data Engineering](\u002Fjobs-by-skill\u002Fpython) principles and [Data Architecture](\u002Fjobs-by-expertise\u002Ffinancial-modeling) while gaining hands-on experience with Kafka clusters in production environments.\n\nCareer progression often involves moving from implementation roles to [Project Leadership](\u002Fjobs-by-expertise\u002Fproject-management) positions, where professionals design [Software Architecture Design](\u002Fjobs-by-expertise\u002Fportfolio-management) for large-scale streaming platforms. Combining Kafka expertise with [Data Visualization](\u002Fjobs-by-expertise\u002Ffinancial-analysis) skills using tools like [Tableau](\u002Fjobs-by-skill\u002Fpython) and [Business Analytics](\u002Fjobs-by-expertise\u002Ffinancial-analysis) capabilities creates pathways to senior data architecture roles.\n\nContinuous learning should focus on integrating Kafka with emerging technologies like [AI\u002FML](\u002Fjobs-by-skill\u002Fpython) and [Large Language Models (LLMs)](\u002Fjobs-by-skill\u002Fartificial-intelligence-tools). Developing expertise in [Streaming Services](\u002Fjobs-by-expertise\u002Ffinancial-markets) and [Integration Technologies](\u002Fjobs-by-expertise\u002Fprocess-improvement) ensures professionals remain competitive in Switzerland's evolving financial technology landscape. Practical experience with [ETL Processes](\u002Fjobs-by-skill\u002Fsql) and [Data Pipelines](\u002Fjobs-by-skill\u002Fpython) complements Kafka knowledge for comprehensive data engineering careers.","skill:kafka:ch","2026-08-17T09:02:39.704717+02:00",{"industry":34,"employment_type":46,"expertise_skills":54,"it_skills":128,"salary_currency":200,"processed_working_hours":203},[35,39,43],{"key":36,"label":37,"count":38},"wealth management","Wealth Management",3,{"key":40,"label":41,"count":42},"banking","Banking",2,{"key":44,"label":45,"count":42},"financial services","Financial Services",[47,51],{"key":48,"label":49,"count":50},"permanent","PERMANENT",4,{"key":52,"label":53,"count":42},"contract","CONTRACT",[55,58,61,64,67,71,74,77,80,83,86,89,92,95,98,101,104,107,110,113,116,119,122,125],{"key":56,"label":57,"slug":56,"count":42},"budgeting","Budgeting",{"key":59,"label":60,"slug":59,"count":42},"devops","Devops",{"key":62,"label":63,"slug":62,"count":42},"software-development","Software Development",{"key":65,"label":66,"slug":65,"count":42},"agile-methodologies","Agile Methodologies",{"key":68,"label":69,"slug":68,"count":70},"application-management","Application Management",1,{"key":72,"label":73,"slug":72,"count":70},"asset-management","Asset Management",{"key":75,"label":76,"slug":75,"count":70},"asynchronous-processing","Asynchronous Processing",{"key":78,"label":79,"slug":78,"count":70},"backlog-management","Backlog Management",{"key":81,"label":82,"slug":81,"count":70},"business-intelligence","Business Intelligence",{"key":84,"label":85,"slug":84,"count":70},"caching-mechanisms","Caching Mechanisms",{"key":87,"label":88,"slug":87,"count":70},"change-management","Change Management",{"key":90,"label":91,"slug":90,"count":70},"cloud-native-microservices","Cloud-Native Microservices",{"key":93,"label":94,"slug":93,"count":70},"compliance","Compliance",{"key":96,"label":97,"slug":96,"count":70},"contextual-logging","Contextual Logging",{"key":99,"label":100,"slug":99,"count":70},"data-analysis","Data Analysis",{"key":102,"label":103,"slug":102,"count":70},"data-governance","Data Governance",{"key":105,"label":106,"slug":105,"count":70},"data-modeling","Data Modeling",{"key":108,"label":109,"slug":108,"count":70},"data-platform-architecture","Data Platform Architecture",{"key":111,"label":112,"slug":111,"count":70},"data-platform-management","Data Platform Management",{"key":114,"label":115,"slug":114,"count":70},"data-security","Data Security",{"key":117,"label":118,"slug":117,"count":70},"data-warehousing","Data Warehousing",{"key":120,"label":121,"slug":120,"count":70},"design","Design",{"key":123,"label":124,"slug":123,"count":70},"distributed-tracing","Distributed Tracing",{"key":126,"label":127,"slug":126,"count":70},"etlelt","Etl\u002FElt",[129,133,136,139,142,145,148,151,154,157,160,163,166,169,172,175,178,181,184,185,188,191,194,197],{"key":130,"label":131,"slug":130,"count":132},"kafka","Kafka",6,{"key":134,"label":135,"slug":134,"count":50},"kubernetes","Kubernetes",{"key":137,"label":138,"slug":137,"count":38},"docker","Docker",{"key":140,"label":141,"slug":140,"count":38},"cicd","Ci\u002FCd",{"key":143,"label":144,"slug":143,"count":42},"spring-boot","Spring Boot",{"key":146,"label":147,"slug":146,"count":42},"sql","SQL",{"key":149,"label":150,"slug":149,"count":42},"databricks","Databricks",{"key":152,"label":153,"slug":152,"count":42},"python","Python",{"key":155,"label":156,"slug":155,"count":42},"java","Java",{"key":158,"label":159,"slug":158,"count":42},"ms-azure","MS Azure",{"key":161,"label":162,"slug":161,"count":70},"caffeine","Caffeine",{"key":164,"label":165,"slug":164,"count":70},"camunda","Camunda",{"key":167,"label":168,"slug":167,"count":70},"cloud","Cloud",{"key":170,"label":171,"slug":170,"count":70},"cloudbeesjenkins","Cloudbees\u002FJenkins",{"key":173,"label":174,"slug":173,"count":70},"continuous-integration-delivery","Continuous Integration & Delivery",{"key":176,"label":177,"slug":176,"count":70},"css3","Css3",{"key":179,"label":180,"slug":179,"count":70},"dbt","Dbt",{"key":182,"label":183,"slug":182,"count":70},"delta-lake","Delta Lake",{"key":59,"label":60,"slug":59,"count":70},{"key":186,"label":187,"slug":186,"count":70},"etl","Etl",{"key":189,"label":190,"slug":189,"count":70},"event-hubs","Event Hubs",{"key":192,"label":193,"slug":192,"count":70},"flowable","Flowable",{"key":195,"label":196,"slug":195,"count":70},"gcp","Gcp",{"key":198,"label":199,"slug":198,"count":70},"generative-ai-tools","Generative Ai Tools",[201],{"key":202,"label":202,"count":132},"CHF",[204],{"key":205,"label":205,"count":132},"FULL_TIME",{"total":132,"jobs":207},[208,255,282,334,356,385],{"id":209,"slug":210,"title":211,"raw_title":212,"is_featured":213,"company":214,"raw_hiringOrganization_logo_url":217,"processed_city_gmaps":218,"processed_country_iso_code_gmaps":220,"processed_home_office":222,"processed_salary_min":223,"processed_salary_max":224,"processed_salary_currency":202,"processed_salary_source":225,"processed_working_hours":226,"processed_employment_types":48,"processed_it_skills":227,"processed_it_skills_labels":228,"processed_job_expertise_skills":242,"processed_job_expertise_skills_labels":243,"max_cpc":70,"actual_cpc":254},80491,"devops-engineer-solution-architekt-zuercher-kantonalbank-und-ihre-tochtergesellschaften","DevOps Engineer & Solution Architekt",null,false,{"name":215,"slug":216,"logo_url":212},"Zürcher Kantonalbank und ihre Tochtergesellschaften","zuercher-kantonalbank-und-ihre-tochtergesellschaften","https:\u002F\u002Fapply.refline.ch\u002F792841\u002Fcompanies\u002Fmaster\u002Fimg\u002Flogo.jpg",[219],"Zürich",[221],"CH","hybrid",100000,140000,"estimated",[205],{"ai":38,"css3":38,"java":50,"cloud":42,"html5":38,"kafka":42,"maven":38,"nexus":38,"gitlab":38,"tomcat":38,"angular":50,"node.js":38,"windows":38,"typescript":50,"spring boot":50,"spring batch":38,"cloudbees\u002Fjenkins":38,"continuous integration & delivery":38},[156,144,229,230,231,232,233,234,174,235,236,237,238,239,240,131,168,241],"Spring Batch","TypeScript","Angular","Node.js","HTML5","CSS3","CloudBees\u002FJenkins","Maven","Tomcat","Nexus","GitLab","Windows","AI",{"scrum":38,"design":50,"devops":50,"analysis":50,"safe framework":38,"interface design":50,"system integration":38,"software development":50,"technical conception":50,"solution architecture":50,"application management":38,"application integration":50,"event-driven architecture":38},[63,244,245,246,247,248,69,249,250,251,121,252,253],"Application Integration","Solution Architecture","DevOps","Scrum","SAFe Framework","System Integration","Technical Conception","Analysis","Interface Design","Event-Driven Architecture",1.2,{"id":256,"slug":257,"title":258,"raw_title":212,"is_featured":213,"company":259,"raw_hiringOrganization_logo_url":217,"processed_city_gmaps":260,"processed_country_iso_code_gmaps":261,"processed_home_office":222,"processed_salary_min":262,"processed_salary_max":224,"processed_salary_currency":202,"processed_salary_source":225,"processed_working_hours":263,"processed_employment_types":48,"processed_it_skills":264,"processed_it_skills_labels":265,"processed_job_expertise_skills":274,"processed_job_expertise_skills_labels":275,"max_cpc":70,"actual_cpc":254},80487,"software-engineer-im-asset-management-mwd-zuercher-kantonalbank-und-ihre-tochtergesellschaften","Software Engineer im Asset Management (m\u002Fw\u002Fd)",{"name":215,"slug":216,"logo_url":212},[219],[221],110000,[205],{"c#":38,"etl":38,"git":50,"sql":38,"xml":38,"json":38,"kafka":38,"linux":38,"python":50,"azure devops":38,"shell scripting":38},[153,266,147,267,131,268,269,270,271,272,273],"C#","Git","ETL","JSON","XML","Azure DevOps","Linux","Shell Scripting",{"devops":38,"compliance":38,"risk management":38,"asset management":38,"change management":38,"financial products":38,"incident management":38,"portfolio management":38,"software development":50,"portfolio optimization":42,"regulatory requirements":38},[63,73,276,277,278,94,279,280,246,281,88],"Portfolio Management","Regulatory Requirements","Risk Management","Financial Products","Portfolio Optimization","Incident Management",{"id":283,"slug":284,"title":285,"raw_title":212,"is_featured":213,"company":286,"raw_hiringOrganization_logo_url":212,"processed_city_gmaps":289,"processed_country_iso_code_gmaps":290,"processed_home_office":222,"processed_salary_min":291,"processed_salary_max":292,"processed_salary_currency":202,"processed_salary_source":225,"processed_working_hours":293,"processed_employment_types":52,"processed_it_skills":294,"processed_it_skills_labels":295,"processed_job_expertise_skills":318,"processed_job_expertise_skills_labels":319,"max_cpc":70,"actual_cpc":254},74571,"senior-java-engineer-100-fmd-contract-through-our-external-payroll-partner-with-immediate-start-until-30092027-with-possible-extension-bank-julius-baer-co-ltd","Senior Java Engineer 100% (f\u002Fm\u002Fd) (Contract through our external payroll partner with immediate start until 30.09.2027 with possible extension)",{"name":287,"slug":288,"logo_url":212},"Bank Julius Baer & Co. Ltd.","bank-julius-baer-co-ltd",[219],[221],120000,160000,[205],{"aws":50,"gcp":50,"jwt":50,"tls":50,"bpmn":38,"grpc":50,"java":50,"azure":50,"kafka":50,"redis":50,"docker":50,"oauth2":50,"camunda":38,"caffeine":50,"flowable":38,"rabbitmq":50,"spotfire":38,"kubernetes":50,"micrometer":50,"spring boot":50,"spring data":50,"restful apis":50,"service mesh":38,"spring cloud":50,"opentelemetry":50,"spring security":50,"protocol buffers":50,"tibco streambase":38,"generative ai tools":38,"ai-assisted development tools":38},[156,144,296,297,298,299,300,193,165,301,131,302,303,304,305,138,135,306,307,308,309,310,311,312,162,313,314,315,316,317],"Spring Data","Spring Security","Spring Cloud","TIBCO StreamBase","Spotfire","BPMN","RabbitMQ","AWS","Azure","GCP","Service Mesh","Micrometer","OpenTelemetry","OAuth2","JWT","TLS","Redis","RESTful APIs","gRPC","Protocol Buffers","AI-assisted development tools","Generative AI tools",{"api security":50,"observability":50,"message brokers":50,"caching mechanisms":50,"contextual logging":50,"agile methodologies":50,"distributed tracing":50,"markets\u002Ftrading domain":38,"asynchronous processing":50,"performance optimization":50,"low-latency system design":50,"cloud-native microservices":50,"high-throughput system design":50,"monolith to microservices migration":50},[320,321,322,323,324,325,326,327,328,329,330,331,332,333],"High-throughput system design","Low-latency system design","Asynchronous processing","Message brokers","Cloud-native microservices","Observability","Distributed tracing","Contextual logging","Monolith to microservices migration","Markets\u002FTrading domain","API security","Caching mechanisms","Performance optimization","Agile methodologies",{"id":335,"slug":336,"title":337,"raw_title":212,"is_featured":213,"company":338,"raw_hiringOrganization_logo_url":212,"processed_city_gmaps":339,"processed_country_iso_code_gmaps":340,"processed_home_office":341,"processed_salary_min":291,"processed_salary_max":342,"processed_salary_currency":202,"processed_salary_source":225,"processed_working_hours":343,"processed_employment_types":52,"processed_it_skills":344,"processed_it_skills_labels":345,"processed_job_expertise_skills":352,"processed_job_expertise_skills_labels":353,"max_cpc":70,"actual_cpc":254},58446,"senior-data-engineer-data-analytics-platform-80-100-fmd-contract-through-our-external-payroll-partner-with-immediate-start-for-12-months-with-possible-extension-bank-julius-baer-amp-co-ltd","Senior Data Engineer – Data Analytics Platform 80-100% (f\u002Fm\u002Fd) - (Contract through our external payroll partner with immediate start for 12 months with possible extension)",{"name":287,"slug":288,"logo_url":212},[219],[221],"onsite",150000,[205],{"dbt":38,"sql":50,"azure":50,"ci\u002Fcd":38,"kafka":38,"scala":38,"docker":38,"python":50,"pyspark":50,"databricks":50,"delta lake":38,"event hubs":38,"kubernetes":38,"helm charts":42,"apache flink":42,"spark streaming":38},[153,346,147,347,150,348,183,304,131,190,349,135,138,350,179,351],"Scala","PySpark","Spark Streaming","Apache Flink","Helm Charts","CI\u002FCD",{"etl\u002Felt":50,"data analysis":50,"data modeling":50,"data security":38,"system design":50,"data governance":38,"data warehousing":50,"business intelligence":50},[354,118,82,106,103,115,355,100],"ETL\u002FELT","System Design",{"id":357,"slug":358,"title":359,"raw_title":212,"is_featured":213,"company":360,"raw_hiringOrganization_logo_url":212,"processed_city_gmaps":361,"processed_country_iso_code_gmaps":362,"processed_home_office":341,"processed_salary_min":342,"processed_salary_max":363,"processed_salary_currency":202,"processed_salary_source":225,"processed_working_hours":364,"processed_employment_types":48,"processed_it_skills":365,"processed_it_skills_labels":366,"processed_job_expertise_skills":371,"processed_job_expertise_skills_labels":372,"max_cpc":70,"actual_cpc":254},48006,"data-platform-responsible-100-fmd-ch10-bjb-bank-julius-baer-amp-co-ltd","Data Platform Responsible 100% (f\u002Fm\u002Fd)",{"name":287,"slug":288,"logo_url":212},[219],[221],180000,[205],{"ci\u002Fcd":50,"kafka":50,"docker":50,"s3\u002Fhdfs":50,"vm setup":38,"automation":38,"kubernetes":50,"unit testing":38},[135,131,367,138,351,368,369,370],"S3\u002FHDFS","VM setup","Unit testing","Automation",{"budgeting":38,"agile delivery":50,"risk assessment":50,"solution design":50,"incident support":50,"security concept":50,"quality assurance":50,"technical roadmap":50,"release management":50,"supplier management":50,"interface agreements":50,"lifecycle management":50,"master data management":50,"data platform management":50},[112,373,374,375,376,377,378,379,380,381,382,383,57,384],"Lifecycle Management","Solution Design","Security Concept","Interface Agreements","Release Management","Supplier Management","Risk Assessment","Quality Assurance","Agile Delivery","Incident Support","Technical Roadmap","Master Data Management",{"id":386,"slug":387,"title":388,"raw_title":212,"is_featured":213,"company":389,"raw_hiringOrganization_logo_url":212,"processed_city_gmaps":390,"processed_country_iso_code_gmaps":391,"processed_home_office":222,"processed_salary_min":342,"processed_salary_max":392,"processed_salary_currency":202,"processed_salary_source":225,"processed_working_hours":393,"processed_employment_types":48,"processed_it_skills":394,"processed_it_skills_labels":395,"processed_job_expertise_skills":401,"processed_job_expertise_skills_labels":402,"max_cpc":70,"actual_cpc":254},48035,"platform-owner-100-fmd-ch10-bjb-bank-julius-baer-amp-co-ltd","Platform Owner 100% (f\u002Fm\u002Fd)",{"name":287,"slug":288,"logo_url":212},[219],[221],200000,[205],{"ci\u002Fcd":38,"kafka":38,"trino":38,"devops":38,"hadoop":38,"iceberg":38,"snowflake":38,"databricks":38,"kubernetes":38,"apache spark":50},[396,397,398,131,135,399,150,400,351,246],"Apache Spark","Iceberg","Trino","Snowflake","Hadoop",{"budgeting":38,"risk & compliance":50,"vendor management":38,"backlog management":50,"project management":50,"agile methodologies":50,"sla\u002Fslo\u002Fkpi management":50,"data platform architecture":50,"technical vision & roadmap":50},[109,403,79,404,405,66,406,57,407],"Technical Vision & Roadmap","SLA\u002FSLO\u002FKPI Management","Risk & Compliance","Vendor Management","Project Management",{"total":409,"jobs":410},0,[]]