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# Database Reliability Engineer

- **Company:** Fuse Limited
- **Location:** London, UK (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Airflow, Business Logic, Cloud Database, Databases, Continuous Integration, Data Validation, Data Infrastructure, Data Transformation, Relational Databases, Python (Programming Language), PostgreSQL, SQL Databases, AWS Cdk, Pulumi, Vertica, Data Pipelines
- **Published:** July 3, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=156a71ec4264f3fc

## About the Role

+ 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

## Description

o Own the reliability, performance, and scalability of Fuse's database infrastructure across Postgres and ClickHouse
o Build and maintain scalable, reliable data pipelines to support analytics, reporting, and product needs
o Own the design and evolution of analytical schemas, translating business logic into structured, intuitive data models
o Migrate and transform data from Postgres into ClickHouse, ensuring performance and reliability
o Develop and maintain DBT models that reflect our business domain and make data easily accessible for teams
o Implement tests and data quality checks to ensure reliable and trustworthy datasets
o Identify and eliminate duplicates, improve data consistency, and enforce clean modelling standards
o Manage all database and infrastructure changes through IaC - minimise direct DB modifications


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