Data Engineer

2 Months ago • 4 Years +
Data Analysis

Job Description

Enverus is seeking a passionate Data Engineer to work on their cutting-edge power & renewables forecasting engine. The role involves developing and maintaining data pipelines, sourcing data from diverse providers, and designing robust data sourcing pipelines. You will build and support complex computing algorithms and infrastructures, monitoring and enhancing systems for massive data streaming and ingestion. This position offers the chance to join a rapidly growing company delivering industry-leading solutions in the dynamic energy sector, contributing to a brighter and more sustainable future. The company emphasizes a one-team culture with opportunities for early code deployment.
Good To Have:
  • Experience with financial trading systems
Must Have:
  • Bachelor's in Computer Science or similar
  • 4+ years of experience with data applications/pipelines
  • Experience with complex domains (e.g., power systems)
  • Success in delivering scalable, high-performance software
  • Proficiency in Python backend development
  • Familiarity with Kafka, SQL/NoSQL, Kubernetes on GCP/AWS

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Description


 
Data Engineer
Why YOU Want This Position
 

 
At Enverus, we’re committed to empowering the global quality of life by helping our customers make energy affordable and accessible to the world.
  
We are the most trusted energy-dedicated SaaS company, with a platform built to maximize value from generative AI, and our innovative solutions are reshaping the way energy is consumed and managed. By offering anytime, anywhere access to analytics and insights, we’re helping our customers make better decisions that help provide communities around the world with clean, affordable energy.   
 
The energy industry is changing fast. But we’ve continued to lead the way in energy technology, creating intelligent connections across the entire energy ecosystem, from renewables, power and utilities, to oil and gas and financial institutions. Our solutions create more efficient production and distribution, capital allocation, renewable energy development, investment and sourcing, and help reduce costs by automating crucial business operations. Of course, this wouldn’t be possible without our people, which is why we have built a team of individuals from a diverse range of backgrounds.  
 
Are you ready to help power the global quality of life? Join Enverus, and be a part of creating a brighter, more sustainable tomorrow. 
 
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: 
We are currently seeking a passionate Data Engineer to work the cutting edge power & renewables forecasting engine.  
 
Enverus and its subsidiary PRT have been a leader in load demand and renewable energy forecasting for the past thirty years. 
 
Through our continued growth, we have maintained a one-team culture, with even our most junior members having code running in production within their first few weeks. This role offers the opportunity to join a rapidly growing company delivering industry-leading solutions to customers in the world’s most dynamic and fastest-growing sector. Enverus is the right company at the right time. 
 
What You Will Do:
  • Develop and maintain data pipelines and sourcing from diverse providers.  
  • Design and maintain data sourcing pipelines from multiple providers 
  • Build and support complex computing algorithms and infrastructures 
  • Monitor and enhance systems to support massive data streaming and ingestion
What You Should Have: 
  • Bachelor’s in Computer Science or similar field 
  • 4+ years of experience working with data rich applications and pipelines 
  • Experience with complex domains like power systems or financial trading 
  • Success in delivering scalable, high-performance software 
  • Proficiency in Python backend development 
  • Familiarity with Kafka, SQL/NoSQL databases, and Kubernetes on GCP or AWS
  
Our Technology Stack: 
Python, Kafka, SQL, AWS, Prefect 
 

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