Job Description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead Data Platform Engineer based in Switzerland.
You will join a highly specialized data engineering environment powering large-scale digital audience measurement systems used across the German and Austrian media ecosystem. The platform processes billions of events and delivers mission-critical analytics that support publishers, advertisers, and industry bodies with trusted reach and engagement metrics. In this role, you will take full ownership of a modern, cloud-native GCP data platform following a major migration phase. You will operate at the intersection of architecture, hands-on engineering, and technical leadership, shaping how the platform evolves in production. The environment is highly technical, fast-moving, and autonomy-driven, with strong emphasis on quality, scalability, and reliability. You will also help embed AI-assisted engineering practices to improve speed, consistency, and operational excellence across the stack.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead Data Platform Engineer based in Switzerland.
You will join a highly specialized data engineering environment powering large-scale digital audience measurement systems used across the German and Austrian media ecosystem. The platform processes billions of events and delivers mission-critical analytics that support publishers, advertisers, and industry bodies with trusted reach and engagement metrics. In this role, you will take full ownership of a modern, cloud-native GCP data platform following a major migration phase. You will operate at the intersection of architecture, hands-on engineering, and technical leadership, shaping how the platform evolves in production. The environment is highly technical, fast-moving, and autonomy-driven, with strong emphasis on quality, scalability, and reliability. You will also help embed AI-assisted engineering practices to improve speed, consistency, and operational excellence across the stack.
