Senior Data Engineer – Data Analytics Platform ; f​/m​/d our external

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  our team, you will be a key contributor to building our Data Platform as a foundation for Data Analytics and AI.YOUR CHALLENGE Design, develop, and maintain data pipelines and backend services for real-time decisioning, reporting, data collecting, and related functions

Data Requirements and Modeling Data Management and Transformation Produce high-quality, well-tested, and secure code Develop and maintain software designed to improve data governance and security

Develop processes designed to ensure Data Security and Data Quality YOUR PROFILE Bachelor’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 languages

Solid experience in utilising SQL for data analysis, investigating data issues, diagnosing root causes, and designing effective solutions

Experience in working with cloud-based data technologies, preferably on Microsoft Azure, within continuous integration and delivery (CI/CD) environments

Demonstrated experience working with large-scale datasets using Databricks, PySpark, Spark Streaming, and Delta Lake Hands-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

Familiarity with cloud storage solutions such as Azure Data Lake and Blob Storage Solid understanding of data modelling principles (experience with Data Vault is a plus) and strong skills in system design, implementation, and testing

Experience 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 tools

Excellent communication and collaboration skills, a bility to provide technical leadership to other developers

We are looking forward to receiving your full job application through our online application tool.