South Moravian Region, Czechia (On-site)

Senior Data Engineer

9 Minutes ago • 5 Years +

Data Analysis

Job Description

Enverus is seeking a Senior Data Engineer to join their Data Infrastructure Team in Brno, Czechia. This role involves implementing features and enhancements for Enverus Prism, their energy analytics platform, by collecting, transforming, and delivering presentation-ready data. The ideal candidate will solve challenging data engineering problems, develop maintainable code, and work with modern data platforms and technologies, collaborating with teams in Canada and the United States.

Good To Have:

Familiarity with cloud infrastructure and concepts

Must Have:

Solve challenging data engineering problems to scale and provide solutions to complex business problems
Develop reusable, maintainable, efficient, testable, and cost-effective production-ready code
Review and enforce code quality and standards
Work with a variety of data storage systems, including but not limited to databases and data lakes
Utilize and incorporate AI tools in your day-to-day work
Support and monitor infrastructure, application, database, etc.
Balance working independently with collaborating in a team
Learn new technologies as needed to serve business growth
Brainstorm and prototype new solutions
Readily share knowledge through collaborative meetings and documentation
Bachelor’s degree in computer science, engineering, or equivalent industry experience
5+ years of software development experience
Solid experience with Python and Spark
Good understanding of databases and SQL
Working knowledge of Docker
Experience with modern data development tools and libraries
Knowledge of big data technologies and ETL processes
Good command of Git or similar source-control tools
Good understanding of data structures and algorithms
Good understanding of design patterns and good programming practices

Perks:

Variable Compensation

Add these skills to join the top 1% applicants for this job

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Description

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.

The Team

Would you like to work in a unique data engineering environment built with modern platforms and data

technologies? As a Senior Data Engineer, you get to implement features and enhancements of various sizes

and complexities, influencing decisions on every step of the development cycle – from prototype to

deployment. Join us on our journey as a member of Enverus’ data engineering team working with crew

members based in Canada and the United States.

You would be joining the Data Infrastructure Team, collecting, transforming, and delivering presentation-

ready data to Enverus Prism, our premier energy analytics platform.

Performance Objectives

Solve challenging data engineering problems to scale and provide solutions to complex business

problems

Develop reusable, maintainable, efficient, testable, and cost-effective production-ready code
Review and enforce code quality and standards
Work with a variety of data storage systems, including but not limited to databases and data lakes
Utilize & incorporate AI tools in your day-to-day work
Support and monitor infrastructure, application, database, etc.
Balance working independently with collaborating in a team
Learn new technologies as needed to serve business growth
Brainstorm and prototype new solutions
Readily share knowledge through collaborative meetings and documentation

Competitive Candidate Profile

Bachelor’s degree in computer science, engineering, or equivalent industry experience
5+ years of software development experience
Solid experience with Python and Spark
Good understanding of databases and SQL
Working knowledge of Docker
Experience with modern data development tools and libraries
Knowledge of big data technologies and ETL processes
Good command of Git or similar source-control tools
Good understanding of data structures and algorithms
Good understanding of design patterns and good programming practices
Familiarity with cloud infrastructure and concepts

Our Technology Stack

AWS / Azure, Terraform, Databricks, Python, Spark / PySpark, GitHub, Kinetica, Clickhouse, Docker

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