Senior Analytics Engineer at Protolabs — RealJobs — RealJobs

Be yourself at Protolabs

Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification.  We are an equal opportunity employer, and we are committed to building a diverse team that feels they are valued in the workplace.  So do you feel you do not meet every single requirement but still intrigued? We encourage you to still apply!  You can help make our company even better.  We do not discriminate based on race, color, national origin, sexual orientation, gender, age, mental or physical ability, or any way you represent yourself.  We strongly believe diversity makes for more successful teams.

Why Protolabs?

We are the leaders in digital manufacturing. We hire doers, makers, and creative thinkers who tackle our roles with an entrepreneurial spirit. Our culture is centered around meaningful work that brings new and innovative products to market at unprecedented speeds. We are a diverse team that comes from all walks of life and take pride in our team who is smart, genuine, humble, and passionate about what we do. It’s our people who fuel our creativity and make our culture feel like home.

We are looking for a Senior Analytics Engineer to join our team!

This is a hybrid role, and we are accepting applications from candidates based in the Netherlands.

The Senior Analytics Engineer plays a critical role in shaping and scaling the data foundations that support analytics and decision‑making across the organization. This role transforms complex, raw data into reliable, well‑structured data products that analysts and business partners can confidently use to drive insights.

Sitting at the intersection of data engineering and business analytics, the Senior Analytics Engineer brings deep technical expertise—particularly in dbt and large‑scale transformation design—to guide the evolution of the analytics platform. Working closely with the Principal Analytics Engineer, this role accelerates the migration from legacy DOMO pipelines to a modern data stack, establishes robust modeling and testing standards, and helps elevate technical best practices across the Analytics Engineering team.