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.

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
  Löwenstrasse 29
  8001 Zürich