Senior Data Engineer / Data Warehouse Architect

About the role

A well-established Swiss bank is modernising its data platform and needs a senior technical leader to own the data warehouse architecture and guide the team through the next phase. This is a hands-on technical lead role in a small, collaborative data team, working closely with the team lead on platform direction. The current platform is built on Data Vault 2.0 and Azure, with a roadmap towards a modern cloud data platform and future AI and analytics use cases.

Key responsibilities

• Own the target architecture for the data warehouse and steer key technical decisions
• Strengthen and extend the existing Data Vault 2.0 model, with a focus on history, data quality and performance
• Set and enforce engineering standards, and lead code and design reviews
• Develop and tune data pipelines using Azure Data Factory and SQL
• Mature CI/CD and automated testing in Azure DevOps
• Assess modern platforms (e.g. Databricks, Snowflake) and shape a realistic migration path
• Partner with product owners, business stakeholders and BI teams on all things data

Required profile

• Proven experience as a senior data engineer or DWH architect
• Deep, hands-on Data Vault 2.0 expertise, plus dimensional modelling
• Excellent SQL in production environments
• Confidence leading technical standards and reviews
• Pragmatic judgement on quick fixes versus long-term architecture
• Databricks or Snowflake exposure is a plus; fluent German is required

Required skills

• Data Vault 2.0 and dimensional modelling
• Azure data stack: Azure Data Factory, Azure SQL, Azure Storage, Azure DevOps
• SQL

What we offer

• Genuine influence over a platform in transformation
• A stable employer with a modern tech roadmap
• Competitive package with bonus and strong pension
• Flexible, hybrid working