Backend Engineer - Data (m/f/d)

What you'll do You'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 APls 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. 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 Al 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 systems Don't tick every box? We'd still love to hear from you.

We offer

How we work You 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, tast 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: Al to move fast, engineers always in charge and accountable, no Al-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 technical-expert or management tracks - and the chance to lead a product area within a couple of years.Benefits

• 25 days' vacation - plus an extra day for every 2 years here
• €1,500/year and 3 days/quarter for your own development
• The Mac of your choice
• An office in the heart of Berlin Mitte Our Tech Stack

Backend & data: Python throughout - FastAPI (auto-generated Swagger/OpenAPI), SQLAlchemy, pydantic, pytest, mypy; pandas, polars, numpy, sklearn; uv for dependencies Infra: PostgreSQL, AWS on Kubernetes managed with Terraform, ArgoWorkflows for scheduled jobs, GitLab for code Frontend: React & Next.js in TypeScript with TailwindCSS; Blueprint.js / Radix Ul; TanStack Query or axios; Streamlit for internal tools