Ecoplanet Green Operations Gmbh

Data Engineer (m/f/d)

München, Germany full-time Mid Salary not listed
full-time Mid level Technology & IT Curated
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About the role

What we are buildingAt 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 MattersYou 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 AchieveMeter 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. Find the things in the data a customer would want to know about — a meter drifting, a machine left running overnight, consumption that does not fit the pattern — and turn them into something they can act on
Tech stack and growth. Support the engineering team building scalable data pipeline

What Sets You Up for SuccessMust 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. 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

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 GetTop-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 + Deutschlandticket sponsorship
Regular 1:1s and retros focused on your growth
Real impact — your work supports Europe's transition to a smarter energy system

The ApplicationWe don't do long forms. We don't do generic cover letters. Send us your CV and surprise us.
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Interview prep

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Mid
Technology & IT Javascript MySQL Python Sales SQL Mid level

Likely questions

  1. Tell us about work you have done that is close to the Data Engineer (m/f/d) role.
  2. How would you approach your first 30 days at Ecoplanet Green Operations Gmbh?
  3. Which of Javascript, MySQL and Python have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with Javascript, MySQL and Python.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Data Engineer (m/f/d) role because I can bring practical experience in Javascript, MySQL and Python, learn the team quickly, and contribute to the outcomes Ecoplanet Green Operations Gmbh needs from this hire.

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