Database Reliability Engineer
Fuse Energy Supply
Overview
Fuse Energy is looking for a backend/data-focused engineer to own the reliability and performance of our database stack and data pipelines. You will work closely with cross-functional teams to translate business needs into scalable data models and analytics capabilities. Your work will enable real-time analytics, reporting, and product insights as we scale our integrated energy platform. This role offers a chance to shape data infrastructure at a fast-growing, mission-driven energy company.
Pay / Benefits- Competitive salary and 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
- Own the reliability, performance, and scalability of Fuse's database infrastructure across Postgres and ClickHouse
- Build and maintain scalable data pipelines to support analytics, reporting, and product needs
- Design and evolve analytical schemas translating business logic into structured data models
- Migrate and transform data from Postgres into ClickHouse ensuring performance and reliability
- Develop and maintain DBT models reflecting our business domain for accessible data
- Implement tests and data quality checks to ensure 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
- 3+ years of experience in a backend or data-focused engineering role
- Proficiency in Python and SQL
- Hands-on experience with relational databases, especially Postgres
- Experience designing schemas and data models reflecting real-world business logic
- Familiarity with DBT or similar data transformation frameworks
- Strong understanding of data validation, testing, and quality assurance
- IaC tooling experience (Pulumi, AWS CDK) — treat database as code
- Ability to quickly translate unfamiliar logic into clean data models
- SQL
- Python
- Postgres
- DBT
- data modeling
- data validation
Reference: WJ-747_30177218