Senior Data Engineer (12-Month Contract)

About the role

Julius Baer's Global Products Solution (GPS) Technology department builds software platforms covering execution, sales and trading. As part of its team, you will be a key contributor to building the Data Platform as a foundation for data analytics and AI. This is a 12-month contract position filled through an external agency payroll provider.

Key responsibilities

• Design, develop and maintain scalable data pipelines, data products and backend services supporting real-time decisioning, reporting, analytics and AI use cases.
• Design and implement data models for analytical and operational workloads, ensuring performance, scalability and maintainability.
• Produce high-quality, secure, testable and maintainable code following engineering best practices.
• Develop and maintain data governance, data quality and monitoring solutions across the platform.
• Collaborate with cloud, security and architecture teams to meet enterprise standards and cloud best practices.

Required profile

• Bachelor's or Master's degree in Computer Science, Data Analytics, Information Systems or a related field, or equivalent training and experience.
• 5+ years designing and implementing data engineering solutions and enterprise-scale data platforms.
• 5+ years building ETL/ELT pipelines, data warehouses and modern data platform architectures.
• 5+ years developing data applications and services in Python, Scala or similar languages.
• 5+ years of hands-on SQL experience, including performance optimization, analysis and troubleshooting.
• 3+ years with cloud data technologies, preferably Databricks on Azure.
• Agile delivery experience and strong communication and collaboration skills.

Required skills

• Databricks and Apache Spark (PySpark, Spark SQL, Structured Streaming, Delta Lake)
• Structured, semi-structured and unstructured data across data warehouses, relational databases, object storage and distributed platforms
• Data modelling principles
• CI/CD pipelines and automated deployment
• Preferred: Terraform, Kafka/Azure Event Hubs, DBT, Data Vault 2.0, and technical leadership in architectural decisions

Applications are submitted through the online application tool.