Magma enables any company building AI agents to monetize its data in a few clicks. Backed by Y Combinator.
About the role
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. This role is based in Warsaw and we also have offices in New York 🗽, Stockholm 🇸🇪, and London 🇬🇧 — you’ll have chances to meet everyone in person!
What they're looking for
- 2–3+ years of commercial experience as a Cloud Data Engineer
- Apache Flink (Java or Python API) for stream processing
- Streaming platforms : Kafka and/or Kinesis, including practical understanding of partitioning, ordering, delivery guarantees and backpressure
- Data warehouse architecture experience — you have designed a warehouse or a significant part of one, not only queried it
- Experience in a data-critical environment — where data accuracy, freshness or latency directly affects revenue, compliance or user safety (fintech, adtech, e-commerce at scale, healthcare, security, IoT or similar)
- Strong SQL , with hands-on experience in Amazon Redshift (query tuning, distribution/sort keys, workload management)
More about this role
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.
This role is based in Warsaw and we also have offices in New 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...
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