Berlin Mitte · Hybrid (2 days/week remote) · €60,000–75,000 + VSOP equity
Making concrete accounts for around 8% of global CO₂ emissions, and our machine-learning software runs inside cement and concrete plants 24/7 to cut it - without sacrificing quality or driving up costs. As our Data Engineer, you'll own the data that powers everything we do - the flow of cement and concrete plant data from raw, messy ingestion through cleaning, to the pipelines our machine-learning recommendations run on. The split is roughly 80% data engineering, 20% backend, and it's refreshingly hands-on with customers: you'll dig into real-world data, explain what you find to non-technical people, and make getting data into alcemy dramatically easier.
Build and own the pipelines that ingest and clean messy plant data into something our ML can use
Help us move from strict, structured data requirements toward flexible, AI-powered ingestion - so customers onboard with far less friction
Track down data anomalies and explain your findings to customers in plain language
You've shipped production Python
PostgreSQL or similar SQL databases
Some exposure to machine learning
Small team, direct customer exposure, fast startup pace - so async communication, sharp prioritisation, transparency, and direct feedback are the norm, and how we work is something we shape together, and keep improving.
Hybrid by design (Berlin Mitte office, up to 2 days remote, plus offsites and boat trips), with real room to grow along technical-expert or management tracks - and the chance to lead a product area within a couple of years.
Benefits
~25 days' vacation - plus an extra day for every 2 years here, and the days between Christmas and New Year off
~€Backend & data : Python throughout - FastAPI (auto-generated Swagger/OpenAPI), SQLAlchemy, pydantic, pytest, mypy; Frontend: js in TypeScript with TailwindCSS; Our Hiring Process is fully remote
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