Too easy is boring! Together, we are on a mission to drive forward the energy transition. We love what we do, and we are unafraid to dive in. We believe in taking ownership of our work and in continuously growing and evolving. In short: own it, love it, grow with it.

We are a humble team of coffee and maté lovers with over 20 nationalities. With our geek humor, our love for emojis and random facts is only natural. Over 180 envelians are already on board. Dive in and thrive!As (Senior) Data Scientist / AI/ ML Engineer - Energy Grid Forecast (all genders) you will be part of a cross functional engineering squad with strong knowledge in energy grid calculations, time series data processing and AI-based forecasting. Your and your squads mission is to develop time series forecasts for grid congestions in low voltage grids. Based on weather forecasts, historical data, external sensor data and a digital twin model of the electricity grid, your team will prepare a prognosis of expected grid utilizations, provide them to external stakeholders via APIs and develop an user interface to visualize these results within our software product. Within your role, you will drive the energy transition in an innovative project and directly influence the experience of our users, our organization, and our engineering practices.

• You are part of a cross-functional team (backend, frontend, data, ML, Product) and develop an innovative product which actively drives the energy transition
• You design, refine, and implement AI/ML models to produce time series forecasts based on various input data such as weather forecasts, historical power data or external sensor data in accordance with the current state of technology and best practices
• You develop strategic pathways for evolving the product's tech stack to state of the art solutions, especially in the area of AI/ML technologies and workflows
• You are part of the conceptualizing and developing of professional software solutions to continuously evolve our product in an agile working environment together with the other cross-functional squads in the engineering department
• You have ambitious quality objectives and accompany the entire development process, from concept over implementation through testing to go-live Perfection is a myth! We’re more interested in the human behind the screen, so think of these criteria as helpful directions — we're excited to see how your unique skills might fit in.
• You have +2 years of relevant experience in web application development with a focus on AI-based forecasting, Machine Learning and/or time series data processing.
• You are knowledgeable in different technologies and methodologies regarding time series forecasts or graph machine learning
• You are familiar with significant parts of our tech stack (especially Python), with current software design principles and are looking forward to keeping up with current industry best practices
• You are a team player and passionate about working with talented and inspiring people
• You are looking for technical challenges and pride yourself in finding smart and creative solutions
• You are eager and passionate about writing state of the art software as major part of your daily work
• You are business-fluent in English (Level C1)
• Optionally, you are experienced in one of the following topics: cloud technologies (Azure), data science, Kubernetes, frontend development or energy grid modeling
• Agile working method with Kanban in cross-functional Squads
• Continuous Integration / Continuous Delivery
• Clean (and simple) Code
• Code Reviews and Merge Requests
• Modern web-based tools for documentation and organization
• “You Code it – You Own it – You Run it” – Squad Responsibility for certain functional areas of the product
• Python, incl. additional packages/frameworks e.g., FastAPI, Celery
• PostgreSQL, TimescaleDB
• RabbitMQ, Redis
• Gitlab, Docker, Kubernetes
• Vue.js 3, TypeScript, PrimeVue
• Join us fully remote or at our lovely office in Cologne in a hybrid working mode
• Option for remote work from abroad (up to three months per year from anywhere in the EU or the USA)
• State of the art technology and modern tech stack
• 30 holidays + 3 corporate holidays
• Support for your health through sports membership cooperations
• Flexible use of a monthly mobility budget (e.g. Jobrad, public transport)
• Time and resources for individual growth
• envelio pension plan
• Regular company and team events