Data Engineer (m/f/d)

Ecoplanet Green Operations Gmbh · Münchenmid

In short

▸Construyes y mantienes el núcleo de datos que alimenta los paneles en tiempo real de clientes industriales en Europa.
▸Integras datos de medidores industriales con protocolos diversos, asegurando calidad y consistencia en grandes volúmenes de series temporales.
▸Tienes total autonomía: tu trabajo impacta en semanas y estás directamente ligado a la transición energética en Europa.

Clear written and spoken English.

In ~1 minute you get: who interviews you, the likely questions answered from your CV, and your CV tailored to this job. Free, no card.

🎧Land the interview? Bring the copilot. Our free extension listens to the live interview and flashes 3-4-word anchors from your resume and prep — glance, connect, talk. Get the extension →

What they ask for

✓3-5 años en ingeniería de datos construyendo pipelines productivos
✓Experiencia práctica en ciencia de datos: modelos, detección de anomalías y validación de hallazgos
✓Dominio de Python y SQL en entornos de infraestructura en la nube
✓Capacidad de manejar datos en serie temporal a gran escala: rellenos, errores, duplicados
✓Pensamiento end-to-end: priorizas soluciones simples sobre soluciones complejas
✓Inglés fluido por escrito y hablado (alemán es un plus)

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

PythonSQLCloud data infrastructureAPIsTime-series dataData pipelinesReal-time dashboardsMonitoringAlertingBackfills

Who should you write to at Ecoplanet Green Operations Gmbh?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

What we are building At ecoplanet, we're redefining energy for tomorrow. Our mission: turn energy management into the competitive edge every European business relies on to win its market. We're building the operating system for the energy transition — cutting energy costs, improving efficiency, and streamlining operations. Backed by EQT Ventures, HV Capital and more, and built by a team full of top-tier talent. Why This Role Matters You will build and run the data backbone the whole product sits on. Meter readings arrive from industrial sites across Europe, through messages or us accessing APIs. Your job is to get that data in clean, on time, and in a shape that dashboards, insights and forecasts can rely on. You will join a team of 12 engineers in two squads. Small team, real ownership, and what you build reaches customers in weeks rather than quarters. What You’ll Achieve Meter data integration. Connect industrial hardware and utility data streams into real-time dashboards. Every site is a little different, so a good part of the job is bringing data into a consistent structure across all sites Anomalies and insights. This is where data science comes in. Tech stack and growth. Support the engineering team building scalable data pipeline What Sets You Up for Success Must have: 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. ” 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. Nice to have: 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 The Application We don't do long forms. We don't do generic cover letters. Send us your CV and surprise us.

Don't apply unprepared

We research who's interviewing you, tailor your CV and rehearse you live — first one free.