Take full ownership of the end-to-end data platform roadmap and drive its execution from architecture decisions to day-to-day operations.
Ensure reliability, scalability, and performance through strong monitoring, observability, and incident management.
Continuously improve the new GCP-native platform with a focus on stability, cost efficiency, and business continuity.

What You Bring:

5+ years of experience in Data Engineering or Data Platform Engineering with solid Go proficiency.
Strong hands-on experience with GCP services like Cloud Run, Pub/Sub, BigQuery, Dataflow, and Terraform.
Experience with AI coding assistants and sound judgment in reviewing AI-generated code.

What's in It for You:

Ultimate flexibility with a 100% remote work environment, allowing you to work from wherever you like.
Freedom and autonomy in a high-trust team with minimum bureaucracy and efficient processes.
Be part of a small, friendly team that values innovation, excellence, and fairness.

SaaS Group

INFOnline powers digital audience measurement for the German and Austrian media industry, processing billions of events to deliver trusted reach and engagement metrics. Part of saas.group, they are a small, friendly team focused on modernizing infrastructure and moving to a cloud-native architecture on GCP.

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