Data Engineer

Magma Math, is a K–12 platform that helps teachers make smarter instructional decisions and encourages deeper student-driven discussions and collaboration around math.

We’re a fast-growing, well-funded company in thetop tier of European EdTech— backed by$40M Series Aand growing like crazy. But we’re keeping it lean, smart, and fun — without the corporate fluff.

Our work has areal impact: we’re helping students around the world get better at math, and we’rerecognized by education expertsfor improving how math is taught and learned.

This role isbased inWarsaw andwe also have officesinNew York, Stockholm, and London— you’ll have chances to meet everyone in person!

On-site role: We expect candidates to work from office 4 days a week.

What we’re looking for

We are looking for a Data Engineer to build and own the pipelines that our product and business decisions depend on. You will work on both real-time streaming and batch workloads, from ingestion through to a modelled warehouse layer that analysts and services query directly.

This is a hands‑on, infrastructure‑close role. You will design pipelines, write the Terraform that provisions them, and stay responsible for them in production. If you like owning data end to end rather than picking up tickets on someone else’s stack, this will suit you.

What you’ll work with

• Design, build and operate streaming pipelines with Kafka, Kinesis, Firehose and Flink • Build and maintain batch ETL/ELT pipelines into Redshift • Model…