Backend Engineer (Data)

Responsibilities

• Build and maintain scalable, reliable data pipelines to support analytics, reporting, and product needs
• Own the design and evolution of analytical schemas, translating business logic into structured, intuitive data models
• Migrate and transform data from Postgres into Clickhouse, ensuring performance and reliability
• Develop and maintain DBT models that reflect our business domain and make data easily accessible for teams
• Implement tests and data quality checks to ensure reliable and trustworthy datasets
• Identify and eliminate duplicates, improve data consistency, and enforce clean modeling standards

Requirements

• 3+ years of experience as a Backend Engineer or in a data-focused engineering role
• Proficiency in Python and SQL, with the ability to write clean, efficient code and queries
• Hands-on experience working with relational databases, particularly Postgres
• Experience designing schemas and building data models that reflect real-world business logic
• Familiarity with DBT or similar data transformation frameworks
• Strong understanding of data validation, testing, and quality assurance practices

Preferred Qualifications

• Familiarity with cloud-based data infrastructure or data orchestration tools
• Experience with CI/CD practices for data pipelines and transformations

Benefits

• Competitive salary and an equity sign-on bonus
• Biannual bonus scheme
• Fully expensed tech to match your needs
• Paid annual leave
• Breakfast and dinner for office based employees

About the Company

Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. Combining first-principles thinking with cutting-edge technology, we are creating a fully integrated energy company: from developing solar, wind, and hydrogen projects to real-time power trading and distributed energy installations. Our Energy Network decentralises energy management, stabilises the grid, and rewards users, all while supporting the future needs of AI and energy-intensive industries.