Data Engineer

Responsibilities

• Design and operate data infrastructure (streaming and batch) and the systems that move data reliably at scale.
• Ensure data quality, consistency, and observability across event pipelines.
• Ensure GDPR and PII compliance across data flows at scale.

Requirements

• Solid programming and data skills (e.g. SQL, Python, and/or JVM-based languages). •
• Experience managing infrastructure as code (e.g. Terraform or similar).
• A good understanding of data quality, observability, and reliability.
• Experience with streaming systems or near real-time data infrastructure (e.g. Kafka, Flink, or similar).
• AI and Hiring at Mentimeter
• At Mentimeter, we believe AI helps us work smarter - but it never replaces the human assessment, curiosity, and personal connection that define our culture and our hiring.
• We use AI as a sparring partner: to bounce ideas, bring new perspectives, support structure, and make our work more efficient.
• AI does not screen or decide on candidates.
• Hiring teams may use AI to support their work - for example, to structure notes, prepare interview questions, or organize their thinking.
• AI strengthens our work, but it does not define it.
• At Mentimeter, we’re not building an AI-driven hiring process - we’re building a people-first culture, where technology helps us listen, learn, and grow together.
• We strongly encourage applicants who are people of color, LGBTQ+, women, people with disabilities, and/or formerly incarcerated people, and a college degree is not strictly required.

Benefits

• All of this comes attached with a competitive compensation and
• benefits package, including pension contributions. Learn more about our benefits by visiting our
• Benefits & Perks page

Additional details