Database Reliability Engineer
Skills
About the role
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 $210M 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 to electrify our 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
Own the reliability, performance, and scalability of Fuse's database infrastructure across Postgres and ClickHouse
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 modelling standards
Manage all database and infrastructure changes through IaC - minimise direct DB modifications
Requirements
3+ years of experience in a backend engineering or data-focused engineering role
Writes the cleanest SQL you've ever seen - proficiency in Python and SQL is non-negotiable
Hands-on experience 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
Manages all infrastructure through IaC tooling (Pulumi, AWS CDK) - treats the database as code, not a manual system
Grasps new business domains quickly - able to translate unfamiliar logic into clean, intuitive data models without hand-holding
Bonus
Experience with ClickHouse or columnar databases
Familiarity with cloud-based data orchestration tools (Dagster, Step Functions)
CI/CD practices for data pipelines and transformations
Experience operating databases at scale in a production environment
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 allowance for office based employees
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