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 the top tier of European EdTech — backed by $40M Series A and growing like crazy. But we're keeping it lean, smart, and fun — without the corporate fluff.

Our work has a real impact : we’re helping students around the world get better at math, and we're recognized by education experts for improving how math is taught and learned. We're based in Warsaw , but our team spans New York 🗽, Stockholm 🇸🇪, and London 🇬🇧 — and 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