Job Overview:
We are seeking an experienced Data Engineer to join our client Bank Julius Baer in Zurich. The role involves designing, building, and maintaining scalable data pipelines and enterprise data solutions, contributing to the bank’s data strategy and analytics framework.
Key Responsibilities:
Build and manage datasets and data pipelines supporting business and analytical needs.
Collaborate with Data \& Analytics Program Management to co-design enterprise data strategies.
Implement and promote the Data Platform and transformative data processes.
Develop reusable JSON-based schemas and metadata.
Troubleshoot and resolve complex data-related issues.
Support data processes from enterprise reporting to data science (including ML Ops).
Participate in large-scale data migration and integration projects.
Engage with diverse business and technology stakeholders.
Work within Agile methodologies (Scrum/SAFe).
Technical Skills Required:
Big Data tools: S3, Hive, Spark, Trino, MinIO, K8S, Kafka
Programming: Python (Jupyter, IDEs), SQL (advanced level)
Data Science Workbench tools: Knime, Cloudera, Dataiku
Visualization tools: Tableau, Power BI, or Python visualization frameworks
Architecture: Reference architectures for integrated, data-driven systems
Data Quality Frameworks: Experience applying them within data architecture
Domain Experience: Banking or financial institutions (handling sensitive data)