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. Enverus’ 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 Business Unit, you will be instrumental in developing tools supporting renewable energy providers' rapid growth, focusing on congestion analysis and forecasting. Using the latest technologies, you will help provide one-of-a-kind data solutions for power traders and asset managers to help them make smart decisions for our future.
You'll work with an immense amount of data in an environment where system performance matters. If you enjoy taking a lot of data, making it understandable and accessible, while squeezing every ounce of speed out of a system that you can, then this is the role 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 part of the Marginal Unit Team, you will be a key contributor to Enverus's fastest-growing product line. We pair complex algorithms and machine learning with powerful computational infrastructure and an intuitive UI that is unmatched in the industry. Small, fast-paced, and highly educated, this team is looking for other brilliant minds to help them change the landscape of our collective energy future.
What You Will Do:
- Assist in maintaining data pipelines and contribute to sourcing data from various providers
- Support the development and optimization of algorithms and computing infrastructures under the guidance of senior engineers
- Help monitor systems for data streaming and ingestion, and make improvements as needed
What You Will Have:
- BS in Computer Science or related field, or equivalent practical experience
- Eagerness to learn and adapt to working in a complex technical domain
- Basic understanding of data collection and the ability to work with data from multiple sources
- Some experience in backend development in Python
- Familiarity with cloud computing concepts (e.g., GCP, AWS), and interest in working with containerization technologies like Docker
- Willingness to learn Kubernetes or similar orchestration tools
Our Technology Stack:
Python, Rust, Kafka, MySQL, Kubernetes, Docker, AWS, GCP, Grafana, Sentry, Honeycomb, Terraform
