Senior Data Engineer (all)

Full time Data Engineering Business Intelligence Software Engineering Data Warehouse

Job Description

Senior Data Engineer (all)

80-100% in Winterthur

The IT Data Solution team develops and operates source connections with Azure Data Factory and Terraform as well as data products and data mesh
domains on SWICA's central Azure Synapse-based data platform. You are therefore a central contact for data from various source systems, which are made available to our internal partners in a wide variety of forms. If you enjoy complex questions and the analysis, interpretation and processing of large amounts of data with Python, SQL and Spark in a complex environment - then you have come to the right place!
"Good information is hard to come by. It is even harder to do something with it." (Arthur Conan Doyle)

Exciting tasks

  • Data pipeline development & maintenance : Development, extension and maintenance of business and technical components in the area of ​​source connections, data products and interfaces (Azure Data Factory, Synapse/Spark)
  • Technical conception & implementation : Development and implementation of requirements in close cooperation with the specialist departments; focus on robust, scalable data engineering solutions (e.g. CI/CD with Azure DevOps & Terraform)
  • Future-proof data models : Design and implementation of powerful data models that can handle different applications (e.g. machine learning or analytics)
  • Data quality & data security : Compliance with legal and technical standards in data quality management and ensuring secure data processing
  • Automation & Monitoring : Ensuring and continuously optimizing data product supply chains and monitoring processes to quickly identify failures or performance bottlenecks

This is what you bring with you

  • Higher professional education in the field of computer science or computer science-related areas (technical college, university or other training)
  • Very good knowledge of SQL and Python (especially PySpark)
  • Experience in performance optimization of Spark applications
  • Experience with Microsoft Azure (Azure Data Factory, Synapse/Spark)
  • Familiarity with CI/CD environments (Azure DevOps, Terraform)
  • Experience in data integration and master data management is an advantage
  • Enjoy working in an agile team (Scrum, Kanban, Jira)
  • Structured, independent and solution-oriented team player with a high level of quality awareness and enjoyment in automating development workflows and processes
  • High affinity for dealing with large amounts of data and the ability to inspire others about the topic of data and information
  • Fluent German skills (native speaker level) and good English skills

Your place of work

Römerstrasse 37, 8400 Winterthur