Senior Analytics Engineer (Product)

We're not just building an ecommerce platform. We’re reshaping how fashion & lifestyle brands scale globally.

Our API-first, headless SaaS platform supports over 300 brands in delivering localized, high-performance shopping experiences across 120+ countries. Backed by a 50 million SEK investment from the H&M Group, we power leading names like COS, ARKET, & Other Stories, Weekday, Nudie Jeans, and Paul Smith. Brands trust Centra to run operations in 20+ markets - a reflection of the platform’s flexibility and efficiency.

Why Join Centra?

You will build and own the data backbone of our new Data & Insights module. It’s a brand new team, greenfield development, everything to play for.

You’ll take raw transactional data from our clients and transform it into a high-performance analytics engine that powers real-time and analytical dashboards, making key architectural decisions along the way to ensure scalability, reliability, and speed.

What You’ll Do:

• Build and optimize scalable cloud-based data pipelines,

• Design reliable data models and establish trusted business metrics,

• Develop high-performance data platforms and serverless APIs,

• Integrate new data sources and improve existing data infrastructure,

• Shape technical architecture and drive continuous platform improvements.

What We’re Looking For:

• Experience building modern data platforms or data products,

• Strong SQL skills and experience with data modelling and transformation tools,

• Hands-on experience with AWS, GCP, Azure, or similar cloud platforms,

• Ability to make sound technical decisions with a product-focused mindset,

• Experience with Infrastructure as Code (Terraform/CDK); MLOps experience is a plus.

Our Recruitment Process.

Introductory Interview: Meet our recruiter, discuss your experience and expectations. (Online, 30–45 min)

Technical Interview: Dive into technical discussions. (Online or onsite 1.5–2h)

Ways of Working Interview: Explore your alignment with our values and meet the team. (Online or onsite, 1h)