Energy Acuity
Overview
Data Engineer - 25335Brno,Czechia at Energy Acuity 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. Description
We are a trusted energy-dedicated SaaS company with a platform built to maximize value from generative AI. Our solutions provide analytics and insights to help customers make better decisions and support communities worldwide with clean, affordable energy. We operate across the energy ecosystem, including renewables, power and utilities, oil and gas, and financial institutions, to optimize production, distribution, capital allocation, renewable development, investment, and operational costs. We value a diverse team that contributes to a brighter, more sustainable tomorrow. The Team
As a Data Engineer, you will work in a modern data engineering environment, implementing features and enhancements of varying sizes and complexities, influencing decisions throughout the development cycle from prototype to deployment. You will join Enverus’ Wells+ESG Data Engineering Team, which collects, transforms, and delivers presentation-ready data to Enverus Prism, our premier energy analytics platform. You would be part of a team with colleagues in the United States, Canada, and Ukraine. You would be joining the Wells+ESG Data Engineering Team collecting, transforming, and delivering presentation-ready data to Enverus Prism, our premier energy analytics platform. Performance Objectives
Engage in all stages of the Software Development Life Cycle from research and design to deployment Integrate backend data storage including relational, key-value, and document/blob stores Provide solutions to complex business problems beyond CRUD Develop reusable, maintainable, efficient, and production-ready code Review and enforce code quality and standards Write unit, integration, and end-to-end tests Support and monitor infrastructure, applications, databases, etc. Balance independent work with team collaboration Learn new technologies as needed to support business growth Brainstorm and prototype new solutions Document knowledge sharing Competitive Candidate Profile
Bachelor’s degree in computer science or related field Minimum 2 years of software development experience Excellent communication skills with advanced English Experience with Python and Spark data transformations Good understanding of SQL Experience with modern data development tools and libraries Experience with modern CI/CD workflows and Infrastructure as Code (IaC) Knowledge of big data technologies and ETL processes Good command of Git or similar source-control tools Understanding of data structures and algorithms Understanding of design patterns and good programming practices Familiarity with Agile methodologies Familiarity with Airflow, Prefect, or other orchestration services Familiarity with cloud infrastructure and concepts Our Tech Stack
AWS, Databricks, Python, Microsoft SQL, GitHub, Terraform, Azure Data Lake Employment Type
Full-time Job Function
Information Technology
#J-18808-Ljbffr
Data Engineer - 25335Brno,Czechia at Energy Acuity 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. Description
We are a trusted energy-dedicated SaaS company with a platform built to maximize value from generative AI. Our solutions provide analytics and insights to help customers make better decisions and support communities worldwide with clean, affordable energy. We operate across the energy ecosystem, including renewables, power and utilities, oil and gas, and financial institutions, to optimize production, distribution, capital allocation, renewable development, investment, and operational costs. We value a diverse team that contributes to a brighter, more sustainable tomorrow. The Team
As a Data Engineer, you will work in a modern data engineering environment, implementing features and enhancements of varying sizes and complexities, influencing decisions throughout the development cycle from prototype to deployment. You will join Enverus’ Wells+ESG Data Engineering Team, which collects, transforms, and delivers presentation-ready data to Enverus Prism, our premier energy analytics platform. You would be part of a team with colleagues in the United States, Canada, and Ukraine. You would be joining the Wells+ESG Data Engineering Team collecting, transforming, and delivering presentation-ready data to Enverus Prism, our premier energy analytics platform. Performance Objectives
Engage in all stages of the Software Development Life Cycle from research and design to deployment Integrate backend data storage including relational, key-value, and document/blob stores Provide solutions to complex business problems beyond CRUD Develop reusable, maintainable, efficient, and production-ready code Review and enforce code quality and standards Write unit, integration, and end-to-end tests Support and monitor infrastructure, applications, databases, etc. Balance independent work with team collaboration Learn new technologies as needed to support business growth Brainstorm and prototype new solutions Document knowledge sharing Competitive Candidate Profile
Bachelor’s degree in computer science or related field Minimum 2 years of software development experience Excellent communication skills with advanced English Experience with Python and Spark data transformations Good understanding of SQL Experience with modern data development tools and libraries Experience with modern CI/CD workflows and Infrastructure as Code (IaC) Knowledge of big data technologies and ETL processes Good command of Git or similar source-control tools Understanding of data structures and algorithms Understanding of design patterns and good programming practices Familiarity with Agile methodologies Familiarity with Airflow, Prefect, or other orchestration services Familiarity with cloud infrastructure and concepts Our Tech Stack
AWS, Databricks, Python, Microsoft SQL, GitHub, Terraform, Azure Data Lake Employment Type
Full-time Job Function
Information Technology
#J-18808-Ljbffr