Alcemy
Cement and Concrete
DataEngineer(m/f/d)
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Engineer (m/f/d) at Alcemy. Skills: Data Engineering, Backend Development, Customer Interaction. Build pipelines to ingest data. Clean messy plant data”
What You'll Achieve.
Cut CO2 emissions
Industry & Context.
Track down anomalies; Troubleshoot production
What They're Looking For.
Must Have
Shipped production Python, Comfortable working with customers, Patient, plain-spoken, At ease with non-technical teams, Open to using AI tools
Nice to Have
Flask or Django experience, PostgreSQL experience, SQL databases experience, Machine learning exposure
What You'll Do.
Build pipelines to ingest data
Clean messy plant data
Move toward flexible ingestion
Track down data anomalies
Explain findings to customers
Maintain PostgreSQL databases
Keep production running smoothly
Work with customer success
Translate technical to non-technical
How You'll Work.
Team & Collaboration
Collaboratively work with engineers; Own features end to end; Async communication; Direct feedback
Communication Scope
Explain findings; Translate technical
Full Job Description
**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 **Requirements** **You'll thrive here if...** _**Above all, you care about climate change and want your work to count. **_ **Must-haves** * You've shipped production Python * You love getting to grips with an unfamiliar codebase quickly, and you're eager to start delivering work that matters from the start * You're comfortable working directly with customers, sales, and customer success - patient,
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