Database Reliability Engineer

- 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

- 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