Location: ZurichStart date: ASAPDuration: 12months – with possibility of extensionKey ResponsibilitiesDesign, develop, and maintain data pipelines and backend services for real-time decisioning, reporting, data collecting, and related functionsDefine data requirements and develop data modelsManage and transform data across the platformProduce high-quality, well-tested, and secure codeDevelop and maintain software designed to improve data governance and securityDevelop processes designed to ensure Data Security and Data QualityQualificationsBachelor’s or Master’s degree in Computer Science, Data Analytics, Information Systems, or a related technical field; or equivalent training and professional experience5+ years of experience in ETL/ELT, data warehousing, Business Intelligence, and integrating data processing/workflow management tools into pipeline design5+ years building and maintaining end-to-end data systems using Python, Scala, or similar programming languagesSolid experience in utilising SQL for data analysis, investigating data issues, diagnosing root causes, and designing effective solutionsExperience in working with cloud-based data technologies, preferably on Microsoft Azure, within continuous integration and delivery (CI/CD) environmentsDemonstrated experience working with large-scale datasets using Databricks, PySpark, Spark Streaming, and Delta LakeHands-on experience with structured, semi-structured, and unstructured data across various storage systems, including relational databases (RDBMS), data warehouses, in-memory caches, and document databasesFamiliarity with cloud storage solutions such as Azure Data Lake and Blob StorageSolid understanding of data modelling principles (experience with Data Vault is a plus) and strong skills in system design, implementation, and testingExperience with event-driven architectures (e.g., Kafka, Event Hubs, Apache Flink) and containerised microservices platforms (e.g., Kubernetes, Docker, Helm Charts)Knowledge and practical use of dbt (data build tool), experience with BI toolsExcellent communication and collaboration skills, ability to provide technical leadership to other developersDue to Swiss work permit restrictions, we can only consider applications from EU citizens or holders of valid working permit in Switzerland.Experis® is a global leader in IT professional resourcing, permanent recruitment, project solutions, and managed services. With over 25 years of experience in Switzerland and offices in Zürich, Basel, and Geneva, we connect top IT talent with leading companies. Our mission is to help professionals unlock their potential and thrive in dynamic, future-ready careers. #J-18808-Ljbffr
Senior Data Engineer – Data Analytics Platform in Zürich Arbeitgeber: Experis Switzerland
Experis Switzerland ist ein hervorragender Arbeitgeber, der seinen Mitarbeitern die Möglichkeit bietet, in einem dynamischen und innovativen Umfeld zu arbeiten. Mit einem starken Fokus auf persönliche und berufliche Weiterentwicklung sowie einer offenen und unterstützenden Unternehmenskultur fördert das Unternehmen die Zusammenarbeit und Kreativität. Die Position als Senior GitLab Platform Engineer ermöglicht es Ihnen, an spannenden Projekten im Bereich CI/CD und Cloud/Kubernetes zu arbeiten und dabei von flexiblen Arbeitszeiten und einem engagierten Team zu profitieren.
