Why YOU Want This Position
Enverus is the leading energy SaaS company delivering highly technical insights and predictive/prescriptive analytics that empower customers to make better decisions faster. Our innovative technologies drive production and investment strategies, enable best practices for energy and commodity trading and risk management, and reduce costs through automated processes across critical business functions. Enverus is a strategic partner to more than 6,000 customers in 50 countries. As part of the Power and Renewables team, you’ll develop tools to support renewable energy growth, focusing on congestion analysis and forecasting. You’ll work with large data sets to create solutions that help power traders and asset managers make smarter, sustainable decisions. If you’re passionate about tackling big data challenges and driving innovation, this role is for you! Enverus has a dynamic hub for developing software in Brno, Czech Republic and you can learn more about our team, company culture, and benefits here.    The Team:
As a key member of the Marginal Unit Team, you’ll play a vital role in one of the fastest-growing product lines at Enverus. This innovative team leverages scientific computing, machine learning, and complex algorithms, all supported by state-of-the-art computational infrastructure. With an intuitive user interface, we are transforming the energy industry and looking for brilliant minds to help shape the future of energy. Join us and contribute to cutting-edge solutions that make a real impact.

What You Will Do:Develop and maintain data pipelines and sourcing from diverse providers. Build and refine computational algorithms for data-intensive analysis and simulationsEnhance systems to manage large-scale data streaming and ingestion for power systemsCollaborate with a talented team to design scalable software that drives decisions for renewable energy providers What You Should Have:Bachelor’s in Electrical Engineering or similar field (power flow experience, electrical engineering or computer science background is a plus)4+ years in scientific computing, data pipelines, or computational algorithmsExperience with complex domains like power systems or financial tradingSuccess in delivering scalable, high-performance softwareProficiency in Python, C++ or Rust for backend developmentFamiliarity with Kafka, SQL/NoSQL databases, and Kubernetes on GCP or AWS Our Technology Stack:Python, Kafka, SQL, Rust, NoSQL, AWS, C++