Senior Data Engineer – Data Analytics Platform

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 together.

In 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 experience

• 5+ years of experience in ETL/ELT, data warehousing, Business Intelligence, and integrating data processing/workflow management tools into pipeline design

• 5+ 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, ability to provide technical leadership to other developers

We are looking forward to receiving your full job application through our online application tool. Further interesting job opportunities can be found on our Career site.

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Why join Julius Baer?

At Julius Baer our employees enjoy the benefits of a global company with the support and collegiality of a much smaller one. We are growing quickly, but we remain dedicated to maintaining our accessible structure with flat hierarchies, and approachable and supportive leaders.

With offices around the world, we offer an international and stimulating work environment and the opportunity to work with a diverse team of highly motivated colleagues, bringing the best of the bank to our clients. Our core values of Care, Passion, and Excellence define the tone of how we interact with each other and our partners.

Committed to your success

Whether nurturing young talent with our renowned apprentice scheme, enabling ambitious university graduates to put theory into practice with our Graduate Programme, or providing first-class opportunities for experienced professionals, we look after our employees. We believe in continuous learning as a company and as individuals, which is why we put a focus on the health and well-being of our employees and offer flexible working options, a wide array of benefits, and extensive career development programmes.