About the Company

We are a European tech innovator operating a high-volume digital operations platform. We’re established and scaling to lead in our domain, leveraging modern technology and an agile approach to continuously improve our operations. We use data, AI, automation, and modern cloud architectures to run efficient supply chains and optimize product lifecycle decisions.

There is a healthy growth pace supported by long-term planning and solid investment. The culture values ownership, collaboration, and building practical solutions that improve efficiency, reliability, and long-term operational performance.

About the Role: You will join as a Senior Infrastructure & Data Platform Engineer, responsible for designing, scaling, and operating the company’s modern data and infrastructure platform. The platform processes high-volume product, logistics, and operational data and supports advanced analytics, AI, and ML-driven decision models. This is a hands-on, impactful role where infrastructure reliability, data quality, and scalability are core priorities.

What You Will Work On

• Design, maintain, and evolve the cloud-based data platform
• Build and manage infrastructure using IaC (Terraform or similar)
• Implement CI/CD pipelines and automated deployment workflows
• Design for reliability, scalability, and operational transparency
• Work closely with engineers across data, backend, and platform domains to deliver data where it brings value
• Establish maintainable engineering practices and platform conventions

Who You Are

• You have strong hands-on experience with cloud and data platform engineering
• You enjoy solving concrete operational challenges, not just theoretical architecture
• You collaborate well in small, skilled teams and contribute to shared solutions
• You are curious, pragmatic, and value clarity and reliability in engineering work

What’s Offered

• Attractive salary, pension, and a range of employment benefits
• Hybrid setup (typically 2–3 days/week in the Stockholm office)
• A role with ownership, autonomy, and real influence on technical direction
• A product-driven environment where engineering decisions directly impact outcomes
• Opportunity to shape a scalable data foundation supporting advanced analytics and emerging ML capabilities