Data Engineer (m/f/d)
Résumé du poste par JobGrid
Data Engineer (m/f/d) at Alcemy: Berlin, Allemagne; Hybride; Temps plein; Senior; IT. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.
- Location and workplace: Berlin, Allemagne, Hybride
- Role classification: IT, Ingénieur data, Temps plein, Senior
- Source freshness: checked by JobGrid on 2026-06-04.
- Application path: candidates continue to the employer application page with non-personal referral tags.
Berlin Mitte · Hybrid (2 days/week remote) · €60,000–75,000 + VSOP equity
Help us decarbonize cement and concrete - not tomorrow, today.
alcemy is on a mission to keep 100 million tons of CO₂ out of the atmosphere every year by 2030. 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. We're already live in a third of Germany's cement plants and 30+ ready-mix concrete plants.
The role
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.
What you'll do
- 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
- Build and maintain the APIs and PostgreSQL databases behind our products, and keep production running smoothly
- Work shoulder to shoulder with customers, sales, and customer success - translating between the technical and the non-technical