Senior Software Engineer, Data

We are building the world's decision infrastructure: the strategic twin of every industrial organization for complex combinatorial problems. We unlocked what wasn't possible before: mapping reality with its levers and constraints into a computer, then running n-dimensional optimization on critical value-chain decisions. We help Europe stay strong and the German Mittelstand make good decisions between market shifts, orders, machines and people. Founded by Dana (CEO) and Erik (CTO) from RWTH research, backed by a €2.8M round led by Vorwerk Ventures, with customers live on our optimization models. We move fast. We care. No patience for problems left unsolved. Your mission Hi, I'm Erik, CTO of Circonomit. This ad is specific on purpose: you should be able to tell from it whether this is your job. We build decision infrastructure for industrial companies: our customers model their production, with its capacities, costs and constraints, and we compute the answer to "what should we do?" before the decision is made. Your mission: scale our data platform for multiple customers and domains. Customer data arrives in many formats from many sources, ERP exports included; it has to land in our system consistently, stay manageable at millions of records, and be fast to query when models and results are on-screen. The product is a data-heavy web app with a math-heavy backend (Python, TypeScript, Solid.js, Postgres, on Cloudflare): your center of gravity is data and infrastructure, but you touch the whole stack. We are looking for a system thinker who wants to shape the architecture. We will not sugarcoat it: short deadlines, real workload, and a platform that grows while customers already run on it. What you'll own The data platform end to end: ingestion, storage, and the query paths that keep millions of records fast on screen. You design it, you build it, you run it in production. The platform layer, directly with the CTO: infrastructure, deployments, and the path to production for the whole team. Performance and correctness work in the optimization engine, together with our research engineers. Your features from first line to production: nobody hands you a ticket and waits. How we work Small team, short lines of communication, no layers. You own your features end to end: you build them, you ship them to production yourself, you run them. Feedback runs both ways, and it runs continuously, in daily work and in weekly one-on-ones. We talk as equals. We communicate proactively and flag it early when something isn't working out. Saying no is part of the job. We like this work, and you'll notice. We review each other's code, and we like being together in the Cologne office, because the fastest conversations still happen in a room. Requirements 5+ years building production backend or data-intensive systems. Strong Python and solid TypeScript, with the appetite to work in both daily. Analytics-data experience: real SQL depth, plus any of Parquet/Arrow/DuckDB/dbt/ware