Senior Data Engineer – Data Analytics Platform 80-100% (f/m/d) - (Contract through our external[...]

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Let’s shape the future of wealth management together.In our team, you will be a key contributor to building our Data Platform as a foundation for Data Analytics and AI.YOUR CHALLENGEDesign, develop, and maintain data pipelines and backend services for real-time decisioning, reporting, data collecting, and related functionsData Requirements and ModelingData Management and TransformationProduce 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 QualityYOUR PROFILEBachelor’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, a bility to provide technical leadership to other developersWe are looking forward to receiving your full job application through our online application tool. #J-18808-Ljbffr 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.