Data Engineer & Machine Learning
Dein nächster Schritt. Dein neuer Job.
- DeepCamp
Data Engineer (m/f/d)
München
Details ansehenVollansicht - SumUp
Senior Machine Learning Engineer I
Berlin
Details ansehenVollansicht - Faszination
Data Analyst & Anwendungsbetreuer im Controlling (m/w/d)
Köln
Details ansehenVollansicht - agentiq
AI/NLP/Data Engineer
Standort offen
Details ansehenVollansicht - Quantum-Systems
Senior Robotics and Machine Learning Engineer (m/f/d)
München
Details ansehenVollansicht - Macromedia
Data Analyst (m/w/d)
München
Details ansehenVollansicht - blip-global
Staff Data Engineer - Governance
Standort offen
Details ansehenVollansicht - THRYVE
Machine Learning Consultant
Standort offen
Details ansehenVollansicht - finanzen.net
(Senior) Data Analyst - Brokerage & Finance (m/w/d)
Karlsruhe
Details ansehenVollansicht - E.ON Energie Deutschland GmbH
(Senior) Customer Data Engineer (m/w/d) E.ON Energie Deutschland GmbH
Essen
Details ansehenVollansicht - super.AI
Machine Learning Engineer
Berlin
Details ansehenVollansicht - Personalhaus Bielefeld & Co. KG
Data Analyst (m/w/d) in Weeze
Bielefeld
Details ansehenVollansicht - Kramer & Crew
(Senior) Data Engineer (m/w/d)
Köln
Details ansehenVollansicht - Scalable Capital
(Senior) ML Engineer / Software Engineer Machine Learning & AI (m/f/x) (onsite / remote in Germany)
München
Details ansehenVollansicht - Unistaff
Data Analyst (w/m/d) Öffentlicher Dienst (+1000€ Unterschriftsprämie)
München
Details ansehenVollansicht - Biopharma Careers
Data Engineer (all genders) (Weimar, Thuringia, DE)
Weimar
Details ansehenVollansicht - Grammarly
Machine Learning Engineer, Mobile
Standort offen
Details ansehenVollansicht - MMC
Data Analyst – Reporting & Power BI (m/w/d)
Hamburg
Details ansehenVollansicht - ALTEN Consulting Services GmbH Nürnberg
Senior Data Engineer (all gender)
Standort offen
Details ansehenVollansicht - Avelios Medical
Machine Learning Engineer (all genders)
München
Details ansehenVollansicht - TELUS International
Online Data Analyst
Berlin
Details ansehenVollansicht - RWE Offshore Wind GmbH
Senior Software & Data Engineer d/w/m
Hamburg
Details ansehenVollansicht - BMG
Machine Learning Engineer AI Automation (LLMs)
Berlin
Details ansehenVollansicht - N.R.Galaxy
Data Analyst / BI Specialist (m/w/d)
Standort offen
Details ansehenVollansicht - Office fédéral de météorologie et de climatologie MétéoSuisse
Responsable de l'équipe Data Engineering (h/f)
Standort offen
Details ansehenVollansicht
Data Engineer (m/f/d)
Veröffentlicht am
- Arbeitsort
- 80331 München, Bayern, Deutschland
Stellenbeschreibung
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. 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 Success
- 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 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 + Deutschlandticket sponsorship
- Regular 1:1s and retros focused on your growth
- Real impact — your work supports Europe’s transition to a smarter energy system