Remote · worldwide, UTC+4 acceptedSalary not disclosedfull-timeVerified 1w agoHimalayas
This role is part of our INFOnline team, one of our exciting brands at saas.group. INFOnline powers digital audience measurement for the German and Austrian media industry.
Responsibilities
Own the end-to-end data platform roadmap and drive its execution from architecture decisions to day-to-day platform operations
Take accountability for data ingress, streaming processing, batch aggregation, data modeling, quality, delivery and reporting logic
Ensure reliability, scalability and performance through strong monitoring, observability and incident management practices
Continuously improve the new GCP-native platform with a focus on stability, cost efficiency, maintainability and business continuity
Collaborate closely with Product, Customer Success and Leadership to translate business requirements into scalable technical solutions
Drive AI-native engineering adoption, including AI-assisted coding, refactoring, testing, documentation and code reviews and establish standards for safe, effective use
Work with external specialists where useful and establish sustainable internal ownership of all critical platform components
What You bring to the table
5+ years of experience in Data Engineering, Data Platform Engineering, or Platform Engineering in production environments
Solid Go (Golang) proficiency is required. Our core backend systems, including ingress collectors, Pub/Sub processors, Dataflow jobs, batch loaders, controllers and CLI tools are written in Go.
