JobHunter AI
Database Reliability Engineer
Fuse Energy
Location
United Kingdom
Work Mode
Onsite
Type
Full-Time
Sector
Tech
First Seen
2026-07-05
Source
himalayas
On-site United Kingdom Data Engineering Customer Service Deadline Unclear Remote
Job Description
<p><a href="https://himalayas.app/companies/fuse-energy">Fuse Energy</a> 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.<br><br>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.<br><br>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.</p><h3><br>Responsibilities</h3><ul><ul><ul><li>Own the reliability, performance, and scalability of Fuse's database infrastructure across Postgres and ClickHouse</li><li>Build and maintain scalable, reliable data pipelines to support analytics, reporting, and product needs</li><li>Own the design and evolution of analytical schemas, translating business logic into structured, intuitive data models</li><li>Migrate and transform data from Postgres into ClickHouse, ensuring performance and reliability</li><li>Develop and maintain DBT models that reflect our business domain and make data easily accessible for teams</li><li>Implement tests and data quality checks to ensure reliable and trustworthy datasets</li><li>Identify and eliminate duplicates, improve data consistency, and enforce clean modelling standards</li><li>Manage all database and infrastructure changes through IaC — minimise direct DB modifications</li></ul></ul></ul><h3>Requirements</h3><ul><ul><li>3+ years of experience in a backend engineering or data-focused engineering role</li><li>Writes the cleanest SQL you've ever seen — proficiency in Python and SQL is non-negotiable</li><li>Hands-on experience with relational databases, particularly Postgres</li><li>Experience designing schemas and building data models that reflect real-world business logic</li><li>Familiarity with DBT or similar data transformation frameworks</li><li>Strong understanding of data validation, testing, and quality assurance practices</li><li>Manages all infrastructure through IaC tooling (Pulumi, AWS CDK) — treats the database as code, not a manual system</li><li>Grasps new business domains quickly — able to translate unfamiliar logic into clean, intuitive data models without hand-holding</li></ul></ul><h3>Bonus</h3><ul><ul><li>Experience with ClickHouse or columnar databases