At Enpal, we are not just a company; we are a movement. As a recognized greentech unicorn and one of Europe’s fastest-growing energy companies, we’re dedicated to making solar energy accessible and effortless for homeowners across the continent. Our innovative business model for solar panels, heat pumps, home energy storage systems, and EV charging stations is redefining the residential energy market. With our mission to empower homeowners to embrace clean energy, we are paving the way for a sustainable, decentralized energy future.
As the leading player in residential solar, Enpal is expanding its next frontier: Enpal Energy, our platform for managing, optimizing, and orchestrating millions of distributed energy assets. This includes building Europe’s largest Virtual Power Plant (VPP), connecting solar systems, batteries, heat pumps, and EV chargers to actively stabilize the grid and unlock new revenue streams for our customers.
Our vision is bold: to become the driving force in Europe’s transition to distributed, intelligent, and clean energy generation.
We are looking for a Data Scientist to join our growing Energy Data Science team. Our forecasting models directly support energy trading decisions across one of Europe's largest residential energy communities, and your work will have measurable impact on how we participate in the energy market. This role is ideal for a hands-on data scientist with strong software engineering skills and experience contributing across the full data and ML stack.
Research, develop, and productionize time series forecasting models for energy markets (e.g. load, generation, and weather forecasting), owning the full lifecycle from data exploration and feature engineering through model training, evaluation, deployment, monitoring, and retraining.
Contribute to our MLOps infrastructure: experiment tracking, model versioning, automated retraining pipelines, and production observability.
Communicate forecasting performance and model insights to trading and product stakeholders, connecting technical results to business impact.
Collaborate closely with Data Engineers, Software Engineers, and Product to deliver well-engineered, reliable data science products.
Help shape our data science roadmap and contribute to the direction of next-generation forecasting approaches.
Mentor and support junior data scientists, fostering a culture of continuous learning and technical growth.
University degree in Computer Science, Engineering, Mathematics, or a related quantitative field.
3+ years of industry experience in machine learning with a focus on time series forecasting, or in data science applied to the energy sector or complex distributed systems.
Proficiency in Python and SQL, with strong software engineering fundamentals: testing, code quality, version control, and CI/CD.
Proven experience deploying and monitoring machine learning models in production.
Practical experience with data engineering tasks: pipeline development, data quality management, and feature engineering at scale, with the ability to build, debug, and maintain these independently.
Experience with cloud infrastructure (Azure, AWS, or GCP).
Hands-on experience with MLOps practices and tooling: experiment tracking, model registries, automated retraining workflows, and CI/CD for ML.
Experience with Snowflake or similar cloud data warehouses.
Experience with distributed data processing frameworks (PySpark, Dask, or similar).
End-to-end ownership mindset: comfortable independently driving a project from research through production.
Fluent in English.
Nice to have...
Experience in the energy industry, particularly in energy trading, energy market structures (day-ahead, intraday, balancing), or virtual power plants.
Deep experience with time series forecasting methods.
Experience working with weather data or numerical weather prediction models.
Experience scaling ML systems, managing many models in parallel, or high-throughput inference.
Experience with probabilistic forecasting or uncertainty quantification.
Work at Germany's first green unicorn - Play an active role in shaping the solar energy transition.
The sun shines all over the world - At Enpal, you'll work with a highly motivated, diverse team of over 65 nationalities.
The ideal setup for your focus - We are convinced that excellent results are achieved when the conditions are right. That's why we rely on a hybrid working concept that gives you the freedom to always work in the way that best suits your tasks. Do you need new inspiration on an international level? With Workflex, we offer you the opportunity to relocate abroad for up to 30 days a year, depending on your responsibilities.
Grown-up business & startup spirit - In our modern office in Berlin-Friedrichshain, you'll find everything your heart desires, from height-adjustable desks and table tennis to stocked beverage fridges and barista coffee.
Your kick-start at Enpal - Onboarding day with a welcome bag, buddy program, and a team that really supports you.
Stay up to date & help shape the future - Transparent all-hands meetings, short decision-making processes, and an open feedback culture - without mistakes, there is no progress.
The energy transition can only be achieved together - At Enpal, you can expect legendary team spirit and unforgettable team events.
Your extra boost - 29 + 2 vacation days, discounted membership at Wellhub, and corporate benefits. Everything you need to help you achieve a good work-life balance.
At Enpal, we are proud of the diversity of our team. No decisions are made on the basis of skin colour, religion or religious belief, ethnic or national origin, nationality, gender identity, sexual orientation, disability or age, either during recruitment or employment. Enpal stands for a safe workplace and takes action against discrimination and harassment of any kind.
