Database Reliability Engineer

Summary

Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. The Database Reliability Engineer will own the reliability, performance, and scalability of the company's database infrastructure, while building and maintaining data pipelines to support various analytics and product needs.

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

Skills

• 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
• 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

Qualifications

Must Haves

• 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

Nice to Haves

• 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