Database Reliability Engineer - Scale & Data Pipelines

Fuse Energy; United Arab Emirates; On-site; AED 120,000 - 150,000; Full time

Benefits offered by this job

Competitive salary and equity sign-on bonus

Biannual bonus scheme

Fully expensed tech

Paid annual leave

Breakfast and dinner allowance for office-based employees

Job summary

Fuse Energy in the United Arab Emirates is looking for a candidate to manage their database infrastructure, ensuring reliability, performance, and scalability across Postgres and ClickHouse. In this role, you will be responsible for building data pipelines, managing transformations, and implementing tests to ensure data quality.

The ideal candidate will have over 3 years of backend engineering experience, proficiency in SQL and Python, as well as hands-on experience with relational databases.

Qualifications

• 3+ years of experience in a backend engineering or data-focused engineering role.
• Proficiency in Python and SQL.
• 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.
• Management of all infrastructure through IaC tooling (Pulumi, AWS CDK).
• Ability to quickly grasp new business domains.

Responsibilities

• Own the reliability, performance, and scalability of the database infrastructure.
• Build and maintain scalable data pipelines for analytics and reporting.
• Migrate and transform data from Postgres into ClickHouse.
• Implement tests and data quality checks.
• Manage all database and infrastructure changes through IaC.

Job description

Fuse Energy in the United Arab Emirates is looking for a candidate to manage their database infrastructure, ensuring reliability, performance, and scalability across Postgres and ClickHouse. In this role, you will be responsible for building data pipelines, managing transformations, and implementing tests to ensure data quality.

The ideal candidate will have over 3 years of backend engineering experience, proficiency in SQL and Python, as well as hands-on experience with relational databases.