ppbLocation: /b Zurich /ppbStart date: /b ASAP /ppbDuration: /b 12months – with possibility of extension /ph3Key Responsibilities /h3ulliDesign, develop, and maintain data pipelines and backend services for real-time decisioning, reporting, data collecting, and related functions /liliDefine data requirements and develop data models /liliManage and transform data across the platform /liliProduce high-quality, well-tested, and secure code /liliDevelop and maintain software designed to improve data governance and security /liliDevelop processes designed to ensure Data Security and Data Quality /li /ulh3Qualifications /h3ulliBachelor’s or Master’s degree in Computer Science, Data Analytics, Information Systems, or a related technical field; or equivalent training and professional experience /lili5+ years of experience in ETL/ELT, data warehousing, Business Intelligence, and integrating data processing/workflow management tools into pipeline design /lili5+ years building and maintaining end-to-end data systems using Python, Scala, or similar programming languages /liliSolid experience in utilising SQL for data analysis, investigating data issues, diagnosing root causes, and designing effective solutions /liliExperience in working with cloud-based data technologies, preferably on Microsoft Azure, within continuous integration and delivery (CI/CD) environments /liliDemonstrated experience working with large-scale datasets using Databricks, PySpark, Spark Streaming, and Delta Lake /liliHands-on experience with structured, semi-structured, and unstructured data across various storage systems, including relational databases (RDBMS), data warehouses, in-memory caches, and document databases /liliFamiliarity with cloud storage solutions such as Azure Data Lake and Blob Storage /liliSolid understanding of data modelling principles (experience with Data Vault is a plus) and strong skills in system design, implementation, and testing /liliExperience with event-driven architectures (e.g., Kafka, Event Hubs, Apache Flink) and containerised microservices platforms (e.g., Kubernetes, Docker, Helm Charts) /liliKnowledge and practical use of dbt (data build tool), experience with BI tools /liliExcellent communication and collaboration skills, ability to provide technical leadership to other developers /li /ulpDue to Swiss work permit restrictions, we can only consider applications from EU citizens or holders of valid working permit in Switzerland. /ppExperis® 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. /p /p #J-18808-Ljbffr
Senior Data Engineer – Data Analytics Platform 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.
