Data Scientist - Product Content

In this role you will lead production-grade automation software for product content, built on Google Cloud. You will own the cloud delivery, CI/CD, and operational aspects while partnering with data analysts and scientists to turn business and AI use cases into dependable services. As the first engineer in a new team, you will set foundations, drive cross-team collaboration, and deliver scalable solutions that improve product information. This position offers meaningful impact through automation and AI in a fast-growing, international environment.

• 25 vacation days
• 12 ADV days
• Flexible working policy
• Travel- and home-working allowance
• Profit sharing bonus
• Generous pension plan

• Design, develop, and maintain modular, secure backend services, REST APIs, and integrations with suitable processing patterns
• Own cloud delivery and operability on Google Cloud, including CI/CD, infrastructure-as-code, monitoring, logging, and secrets management
• Productionise data and AI use cases by building service, integration, and workflow layers around models, with validation and fallback and human-in-the-loop where needed
• Establish engineering foundations through standards, practices, and documentation, and collaborate on architecture reviews across teams
• Collaborate with business stakeholders, data analyst, and data scientist to translate use cases into value-adding solutions
• Own technical decisions independently while seeking alignment from architects and peers

• Senior software engineer with a proven track record of production-ready backend services, APIs, and integrations
• Proficiency in TypeScript (preferred) or Java; Python advantageous for data/AI tasks
• Experience with cloud-native development and deployment on Google Cloud Platform, including containers, IaC, and CI/CD
• Security-aware with IAM, secrets management, monitoring, logging, and traceability
• Effective communication with both technical and non-technical stakeholders
• Experience with AI-related solutions or ML concepts is a plus

• strong collaboration across cross-functional teams
• able to work independently while seeking input when needed
• clear communication and stakeholder management
• TypeScript
• Java
• Python (advantageous)