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Data Engineer(m/w/x)
Building and owning data pipelines for ML software reducing cement plant CO₂ emissions. Production Python experience and customer-facing communication skills required. VSOP equity, 25+ vacation days, and €1,500 annual development budget.
Requirements
- Shipped production Python
- Quickly getting to grips with unfamiliar codebase
- Eagerness to deliver work from start
- Comfortable working with customers, sales, customer success
- Patient, plain-spoken, at ease with non-technical enterprise teams
- Openness to using AI tools
- Experience with Flask or Django
- PostgreSQL or similar SQL databases
- Some exposure to machine learning
- Not ticking every box is acceptable
- Responsible use of AI tools
- Valid EU work visa
Tasks
- Build and own data pipelines
- Clean messy plant data
- Ingest data for machine learning
- Move toward flexible AI-powered data ingestion
- Identify and resolve data anomalies
- Explain data findings to customers
- Develop and maintain APIs
- Manage PostgreSQL databases
- Ensure smooth production operations
- Collaborate with sales and customer success
- Translate technical information to non-technical stakeholders
- Work collaboratively with engineering teams
- Own features from build to deployment
- Test and review code
- Use AI responsibly in development
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Flask
- Django
- PostgreSQL
- SQL
Benefits
Competitive Pay
- VSOP equity
More Vacation Days
- 25+ days vacation
- Extra vacation days
- Christmas to New Year's off
Additional Allowances
- €1,500 annual development budget
Other Benefits
- 3 quarterly development days
Modern Equipment
- Mac of choice
Modern Office
- Office in Berlin Mitte
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Data Engineer(m/w/x)
Building and owning data pipelines for ML software reducing cement plant CO₂ emissions. Production Python experience and customer-facing communication skills required. VSOP equity, 25+ vacation days, and €1,500 annual development budget.
Requirements
- Shipped production Python
- Quickly getting to grips with unfamiliar codebase
- Eagerness to deliver work from start
- Comfortable working with customers, sales, customer success
- Patient, plain-spoken, at ease with non-technical enterprise teams
- Openness to using AI tools
- Experience with Flask or Django
- PostgreSQL or similar SQL databases
- Some exposure to machine learning
- Not ticking every box is acceptable
- Responsible use of AI tools
- Valid EU work visa
Tasks
- Build and own data pipelines
- Clean messy plant data
- Ingest data for machine learning
- Move toward flexible AI-powered data ingestion
- Identify and resolve data anomalies
- Explain data findings to customers
- Develop and maintain APIs
- Manage PostgreSQL databases
- Ensure smooth production operations
- Collaborate with sales and customer success
- Translate technical information to non-technical stakeholders
- Work collaboratively with engineering teams
- Own features from build to deployment
- Test and review code
- Use AI responsibly in development
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Flask
- Django
- PostgreSQL
- SQL
Benefits
Competitive Pay
- VSOP equity
More Vacation Days
- 25+ days vacation
- Extra vacation days
- Christmas to New Year's off
Additional Allowances
- €1,500 annual development budget
Other Benefits
- 3 quarterly development days
Modern Equipment
- Mac of choice
Modern Office
- Office in Berlin Mitte
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Alcemy
Industry
Manufacturing
Description
Alcemy leverages machine learning to provide smart production control software to the cement and concrete supply chain to improve efficiency and allow for the production of low-carbon cement and concrete.
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