Location
Central London

Hours
Full Time

Salary
Competitive, commensurate with experience

About the Role
Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We combine first-principles thinking with cutting-edge technology to build a radically better energy system. Having raised $210M from top-tier investors, we are creating a fully integrated energy company that develops solar, wind, and hydrogen projects, operates real-time power trading, and deploys distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs, and pass savings on to customers.

We are also building the Energy Network: a decentralized platform of smart devices to electrify homes, shift usage to off-peak hours, and help balance the grid. This network strengthens grid stability, a critical foundation for scaling AI data centers and other energy-intensive industries.

As a Database Reliability Engineer, you will own the reliability, performance, and scalability of Fuse's database infrastructure across Postgres and ClickHouse. You will build and maintain scalable, reliable data pipelines to support analytics, reporting, and product needs. You will own the design and evolution of analytical schemas, translating business logic into structured, intuitive data models. Your responsibilities include migrating and transforming data from Postgres into ClickHouse while ensuring performance and reliability, developing and maintaining DBT models that reflect our business domain, and implementing tests and data quality checks to ensure trustworthy datasets.

You will identify and eliminate duplicates, improve data consistency, enforce clean modelling standards, and manage all database and infrastructure changes through Infrastructure as Code (IaC), minimizing direct database modifications.

Experience
3+ years in a backend engineering or data-focused engineering role
Proficiency in Python and SQL with a strong emphasis on writing clean, maintainable SQL
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
Experience managing infrastructure through IaC tooling such as Pulumi or AWS CDK, treating the database as code rather than a manual system
Ability to quickly grasp new business domains and translate unfamiliar logic into clean, intuitive data models without hand-holding

About you
Detail-oriented and passionate about data reliability and performance
Proactive problem solver who thrives in a fast-paced startup environment
Collaborative team player with excellent communication skills
Committed to maintaining high standards of data quality and consistency

Qualifications
Strong technical foundation in backend and data engineering principles
Bonus skills include:
- Experience with ClickHouse or other columnar databases
- Familiarity with cloud-based data orchestration tools such as Dagster or AWS Step Functions
- Knowledge of CI/CD practices for data pipelines and transformations
- Experience operating databases at scale in production environments