Alcemy

Cement and Concrete

DataEngineer(m/f/d)

€60–75k Berlin, Berlin, Germany FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“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.

Cement and Concrete
Problems you'll solve

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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