Database Reliability Engineer
Job Description
REQUIREMENTS
- 3+ years in a backend engineering or data-focused engineering role
- Excellent SQL; 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), treating the database as code
- Grasps new business domains quickly, translating unfamiliar logic into clean, intuitive data models
- Bonus: ClickHouse or columnar databases; cloud-based data orchestration (Dagster, Step Functions); CI/CD for data pipelines and transformations; operating databases at scale in production
RESPONSIBILITES
- Own the reliability, performance and scalability of our client’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, trustworthy datasets
- Identify and eliminate duplicates, improve data consistency and enforce clean modelling standards
- Manage all database and infrastructure changes through IaC, minimising direct DB modifications
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