Backend Engineer - Data (m/f/d)

Meyandy LLC

Berlin

Hybrid

EUR 60.000 - 75.000

Vollzeit

Vor 3 Tagen
Sei unter den ersten Bewerbenden
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Benefits dieser Stelle

VSOP equity

Zusammenfassung

Meyandy LLC in Berlin Mitte is hiring a Backend Engineer - Data to own data ingestion systems and backend APIs for our ML-driven platform in cement and concrete plants. You will build, deploy, and operate ingestion services, ensure data flows are reliable, and explain data insights to non-technical stakeholders.

The role emphasizes hands-on production work, collaboration with customers, and close work with product teams.

Qualifikationen

  • Has deployed production-grade Python applications.
  • Knows how to deploy, monitor and troubleshoot production systems in a cloud environment.
  • Communicates clearly in writing and conversation; collaborates across roles.
  • Comfortable working directly with customers, sales and customer success.

Aufgaben

  • Own data ingestion systems bringing plant data from external partners into ML-ready format.
  • Build and improve ingestion APIs for flexible AI-powered ingestion with reduced onboarding friction.
  • Deploy, monitor and troubleshoot in production; diagnose upstream changes.
  • Track data anomalies and explain findings in plain language to customers.
  • Maintain APIs and PostgreSQL databases behind products; keep production running smoothly.
  • Collaborate with product team on backend work.

Kenntnisse

Python
Cloud deployment
Communication
Customer collaboration

Tools

PostgreSQL
FastAPI
Flask
Django

Jobbeschreibung

# Backend Engineer - Data (m/f/d)AlcemyVia arbeitnowBerlin, DEPubliée il y a 5h## Description du poste**Berlin Mitte · Hybrid (up to 2 days/week remote) · €60,000–75,000 + VSOP equity**### Help us decarbonize cement and concrete - not tomorrow, todayalcemy 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 roleYou'll own the systems that get plant data into alcemy.That data comes from external partners, and it arrives messy. You'll build and own the APIs and services that take it in, make sense of it, and feed the machine-learning models behind our recommendations - designing those systems, deploying them, keeping them running, and diagnosing what went wrong when something upstream changes without warning.It's a backend engineering role with a data problem at the centre of it, 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 need is solid production Python, the ability to run what you build, and comfort talking to the people on the other end of the pipe.### What you'll do* Own the data ingestion systems that bring messy plant data from external partners into something our ML can use* Build and improve our ingestion APIs, moving us from strict, structured data requirements toward flexible, AI-powered ingestion — so customers onboard with far less friction* Deploy, monitor and troubleshoot your systems in production, diagnosing and fixing issues when something upstream changes without warning* 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 external partners, customers, sales and customer success - translating between the technical and the non-technical* Collaborate with the product team on backend work**Requirements*****You'll thrive here if... above all, you care about climate change and want your work to count.*****Must-haves*** You've deployed production-grade Python applications* You know how to deploy, monitor and troubleshoot production systems in a cloud environment* You communicate clearly in writing and in conversation, and you collaborate well across roles* You're comfortable working directly with customers, sales and customer success - patient, plain-spoken, and at ease with non-technical enterprise teams* You pick up unfamiliar codebases quickly, and you're keen to contribute early* You're open to using AI tools to augment how you work**Nice-to-haves*** Exposure to machine learning or data pipeline projects* Experience with FastAPI, Flask or Django* PostgreSQL or similar SQL databases* Experience designing or maintaining integrations with third-party or partner systemsDon't tick every box? We'd still love to hear from you.### How we workYou won't be working alone - you'll build collaboratively alongside senior and junior engineers, owning features end to end: build, test, review, deploy.Small team, direct customer exposure, fast startup pace - so async communication, clear prioritisation, transparency, and direct feedback are the norm, and how we work is something we shape together, and keep improving.We use Claude Code responsibly: AI to move fast, engineers always in charge and accountable, no AI-slop merge requests.**We'll ask you to be flexible.** We don't have fixed teams or fixed projects here. As the business shifts, we'll ask you to move to where the work matters most and pick up new problems. If you enjoy variety and switching between problems, you'll do well here.Hybrid by design (Berlin Mitte office, up to 2 days remote, plus offsites and boat trips), with real room to grow along technic...
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