Data Engineer (m/f/d)

• At least 3–5 years in a data engineering role or something close to it, building pipelines other people depend on
• Hands-on data science experience. You do not need a research background. You do need to have built and evaluated models yourself: enough to tell a real anomaly from noise, to judge when a finding is solid enough to put in front of a paying customer, and to know what a pipeline owes a model running in production
• Solid with Python and SQL and cloud data infrastructure. You have designed and run pipelines, APIs and workflows in production
• Comfortable with high-volume time-series data: ingestion, data quality, backfills, and the everyday reality of late, missing and duplicated readings
• You think end to end before you go deep. When you hit a hard problem, the first instinct we want is “can a change somewhere else in the chain make this easy?” rather than heading straight into solving the hard version. A company our size cannot afford clever answers to problems that did not need solving
• Clear written and spoken English. German is a plus
• Energy, industrial, IoT or another domain where the data comes off real hardware
• Metering or device protocols, telemetry at scale, or streaming pipelines
• Knowledge of a second programming language, like TypeScript or Kotlin
• You run what you build: monitoring, alerting, and the occasional early morning debugging a pipeline

What You Get

• Top-of-market team, flat hierarchy — work alongside people who push you to get better
• Competitive salary
• Full ownership from day one — you actively shape our company
• Close collaboration with our Product team
• Central office, easy commute — free lunch every Tuesday and Thursday
• Wellpass membership
• Regular 1:1s and retros focused on your growth
• Real impact — your work supports Europe's transition to a smarter energy system