Data QA Automation 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. We have 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're hiring a Data QA Automation Engineer to join our Data Science team. 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. This role would be perfect for someone who likes to decipher complicated data structures while innovating solutions to automate the testing approach.

Performance Objectives

• Validate changes to datasets against acceptance criteria provided by Product Owners and Development SMEs.
• Design, implement, and maintain automated test cases for data-driven software products, with mentorship from senior team members.
• Log and track issues when software behavior deviates from expected outcomes.
• Review feature requirements and provide actionable feedback to improve quality and clarity.
• Write clean, maintainable, and efficient code for automated testing frameworks.
• Collaborate within a cross-functional team including development, QA, product, data science, and SRE.
• Investigate, debug, and triage complex issues independently, escalating when necessary.
• Follow team best practices and contribute to continuous improvement efforts.
• Demonstrate curiosity and a growth mindset by learning from mistakes and seeking out the "why" behind tasks.
• Communicate clearly and proactively with team members and stakeholders.

Competitive Candidate Profile

• Proficiency in Python for scripting and test automation.
• Intermediate SQL skills for data validation and analysis.
• Experience with data manipulation libraries such as Pandas or Apache Spark.
• Familiarity with version control systems, especially GitHub.
• Hands-on experience working with data lakes and understanding of data warehousing concepts.
• Comfortable working in Linux-based environments.
• Experience with Agile methodologies and iterative development.
• Bonus: Experience with Databricks and Kubeflow.

Key Attributes

• Self-motivated and capable of working independently.
• Strong problem-solving skills and attention to detail.
• Willingness to challenge conventional approaches and think creatively.
• Ability to complete well-defined tasks efficiently and with high quality.
• Knows when to ask for help and how to collaborate effectively.

Our Tech Stack

Python/PySpark, SQL, Github, Databricks, Azure Data Lake, AWS