Data Engineer

Data Engineer

Mentimeter

Stockholm, Sweden

This role is part of the Data Platform team, where we design and maintain the core data infrastructure that serves Product, Marketing, Growth, and Analytics. You will focus on capturing canonical domain events and support transforming them into high-quality datasets that downstream systems — from warehouses to activation tools — can rely on.

The Data Engineering Team

The Data Engineering team builds and owns the data platform that enables the organization to understand its users and business. We work closely with Product Engineering, Growth, Marketing, and Analytics to ensure that data is reliable, observable, compliant, and fit for purpose.

Within the team, this role brings experience in event-based data modeling and martech-adjacent systems, supporting Mentimeter’s ability to reason about user behavior, lifecycle metrics, and cause-and-effect across touchpoints. Your work will contribute to how events are defined, ingested, validated, and activated throughout the data ecosystem.

This is a hybrid/onsite role located in Stockholm, our guideline is to spend 3 days a week at our office.

What you’ll do

• Model event data in the warehouse to support analytics, growth metrics, and lifecycle analysis.
• Ensure data quality, consistency, and observability across event pipelines.
• Collaborate with marketing and growth teams to enable reliable activation and personalization through tools such as Braze.
• Ensure GDPR and PII understanding and compliance across data flows, including consent handling and secure storage.
• Contribute to improving architecture and data best practices within the Data Engineering team.

Who you are

• A few years of experience as a Data Engineer, Analytics Engineer, or data-heavy backend engineer.
• Solid programming and data skills (e.g. SQL, Python, and/or JVM-based languages).
• Experience building and maintaining data pipelines in a modern cloud data stack.
• A good understanding of data quality, observability, and reliability.
• The ability to understand and explain cause and effect in marketing and product data.
• Clear written communication skills in English and comfort working cross-functionally.

It’s a big plus if you have

• Experience working closely with martech platforms such as Braze.
• Previous experience in growth-focused product teams.
• Experience with streaming or near real-time data systems.
• Familiarity with user lifecycle frameworks and activation metrics.
• Experience working with GDPR-sensitive datasets at scale.