Senior Data Engineer – Data Analytics Platform (12‑month contract)

About the role

At Julius Baer you will be a key contributor to building the Data Platform that underpins Data Analytics and AI. You will design, develop and maintain data pipelines and backend services for real‑time decisioning, reporting and data collection.

Key responsibilities

• Design, develop and maintain data pipelines and backend services for real‑time decisioning and reporting.
• Produce high‑quality, well‑tested, and secure code for data governance and security.
• Develop processes to ensure data security and data quality.
• Work with cloud‑based data technologies on Microsoft Azure within CI/CD environments.
• Handle large‑scale datasets using Databricks, PySpark, Spark Streaming and Delta Lake.

Required profile

• Bachelor’s or Master’s degree in Computer Science, Data Analytics, Information Systems or related field, or equivalent experience.
• 5+ years of experience in ETL/ELT, data warehousing, Business Intelligence and pipeline design.
• 5+ years building end‑to‑end data systems using Python, Scala or similar languages.
• Strong SQL skills for data analysis and issue resolution.
• Experience with cloud data platforms, preferably Microsoft Azure.

Required skills

• Python
• Scala
• SQL
• Microsoft Azure
• Databricks
• PySpark
• Spark Streaming
• Delta Lake
• Azure Data Lake
• Azure Blob Storage
• Data Vault (plus)
• Kafka
• Event Hubs
• Apache Flink
• Kubernetes
• Docker
• Helm Charts
• dbt (data build tool)
• BI tools