Senior Data Engineer – Data Analytics Platform

--- base: / meta-keywords: meta-viewport: width=device-width, initial-scale=1.0 ---

Senior Data Engineer – Data Analytics Platform ================================================

For a leading Private Bank in Zurich, we are looking for an experienced Senior Data Engineer to support the development of a modern Data Platform for Analytics \& AI.

Senior Data Engineer – Data Analytics Platform ================================================

Job description:

• Design, build and maintain scalable data pipelines and backend services
• Support real\-time decisioning, analytics, reporting and data collection
• Translate business/data requirements into appropriate data models and technical solutions
• Manage data transformation, integration and processing
• Develop high\-quality, secure and well\-tested code
• Build solutions that improve data governance, security and quality
• Implement processes and controls around Data Security and Data Quality
• Collaborate with developers and stakeholders while providing technical guidance

Requirements:

• 5\+ years’ Data Engineering experience, particularly ETL/ELT, Data Warehousing and BI
• 5\+ years building end\-to\-end data systems/pipelines using Python and/or Scala
• Strong SQL skills, including data analysis, troubleshooting and root\-cause analysis
• Hands\-on experience with Databricks, PySpark, Spark Streaming and Delta Lake
• Experience with large\-scale datasets and complex data transformations
• Strong experience with cloud\-based data platforms, ideally Microsoft Azure
• Experience with Azure Data Lake / Blob Storage or comparable cloud storage
• Good understanding of data modelling and data architecture principles
• Experience working within CI/CD environments
• Exposure to event\-driven architectures such as Kafka, Event Hubs or Apache Flink
• Experience with Docker / Kubernetes / Helm and containerised environments
• Knowledge of dbt and BI/reporting tools
• Strong communication skills with the ability to provide technical guidance/leadership

![Swisslinx AG]()

• Swisslinx AG

Löwenstrasse 29 8001 Zürich

• [](<>)

jid3c267e1jm jit0939jm jiy26jm