Fuse Energy
Database Reliability Engineer
Remote Database Engineering role with clear candidate location fit.
PostedJul 5, 2026
Eligible countries1 accepted country
Seniority signalMiddle
Work settingRemote
Accepted candidate locations
United Kingdom
Role overview
Database Reliability Engineer
Requirements and responsibilities
Readable role content extracted into sections for faster review.
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
Details
- 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
- 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
Requirements
- 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
Bonus
- 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
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