Backend Engineer (Data)

Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast.
We're combining first-principles thinking with cutting-edge technology to build a radically better energy system.
We raised $170M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more.
We’re creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations.
By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers.
But we’re not stopping there.
We’re also building the Energy Network: a decentralised platform of smart devices that rewards users in Energy Dollars for electrifying their homes, shifting usage to off-peak hours, and helping balance the grid.
This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries.
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 Competitive salary and an equity sign-on bonus Biannual bonus scheme Fully expensed tech to match your needs Paid annual leave Breakfast and dinner allowance for office based employees 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 Bonus Familiarity with cloud-based data infrastructure or data orchestration tools Experience with CI/CD practices for data pipelines and transformations