Data Engineer - Full Stack (m/f/d)
Core
Building and maintaining data pipelines and backend APIs to ingest, clean, and serve plant data for machine learning models that decarbonize cement and concrete production.
Role type
Full Stack Data Engineer (50% Data Engineering, 50% Backend)
Builds
Data ingestion pipelines, cleaning workflows, and production APIs/PostgreSQL databases for ML recommendations
Domain
Climate tech / Industrial decarbonization (cement and concrete plants)
Deliverable
production ML models | product features | infrastructure
Required skills
Python, production application deployment, data pipeline construction, API development, SQL (PostgreSQL), data cleaning, customer-facing technical communication
Preferred skills
Flask, Django, FastAPI, pandas, polars, numpy, sklearn, machine learning exposure
Technologies
Python, FastAPI, SQLAlchemy, pydantic, pytest, mypandas, polars, numpy, sklearn, PostgreSQL, AWS, Kubernetes, Terraform, ArgoWorkflows, GitLab, React, Next.js, TypeScript, TailwindCSS, Streamlit
Responsibilities
Build and own pipelines ingesting and cleaning messy plant data; Maintain APIs and PostgreSQL databases; Track down and explain data anomalies to customers; Collaborate with sales and customer success teams
Seniority
Mid-level, hands-on IC