Fuse Energy
Backend Engineer (Data)
- Permanent
- Dubai, United Arab Emirates
- Experience 2 - 5 yrs
Job expiry date: 12/04/2026
Job overview
Date posted
26/02/2026
Location
Dubai, United Arab Emirates
Salary
AED 15,000 - 20,000 per month
Compensation
Salary + Commission/Bonus
Job description
The Backend Engineer (Data) role at Fuse Energy, a renewable energy startup building a fully integrated energy company across solar, wind, hydrogen projects, real-time power trading, and distributed energy installations, focuses on designing and maintaining scalable data infrastructure to power analytics, reporting, and product capabilities. Operating in a hybrid setup in Dubai, this position is responsible for building and maintaining scalable, reliable data pipelines that support analytics and reporting needs, while owning the design and evolution of analytical schemas that translate business logic into structured and intuitive data models. The role includes migrating and transforming data from Postgres into Clickhouse with emphasis on performance and reliability, and developing and maintaining DBT models that reflect the business domain and enable accessible, trustworthy datasets across teams. The engineer implements robust data validation, data quality checks, and quality assurance practices to ensure reliability, eliminates duplicates, improves data consistency, and enforces clean modeling standards. The position requires strong proficiency in Python and SQL, hands-on experience with relational databases particularly Postgres, and familiarity with DBT or similar data transformation frameworks. Exposure to cloud-based data infrastructure, data orchestration tools, and CI/CD practices for data pipelines and transformations is considered a bonus. The role supports a high-growth, technology-driven renewable energy platform that integrates decentralized smart devices, grid balancing mechanisms, and scalable infrastructure to enhance grid stability and energy efficiency.
Required skills
Key responsibilities
- Build and maintain scalable, reliable data pipelines to support analytics, reporting, and product requirements across the energy platform.
- Design and evolve analytical schemas and structured data models that translate business logic into intuitive, well-governed datasets.
- Migrate and transform data from Postgres into Clickhouse, ensuring high performance, reliability, and optimized schema design.
- Develop and maintain DBT models and implement data transformation workflows that accurately reflect the business domain.
- Implement data validation, testing, and data quality checks, eliminate duplicates, improve data consistency, and enforce clean modeling standards to ensure trustworthy datasets.
Experience & skills
- Demonstrate 3+ years of experience as a Backend Engineer or in a data-focused engineering role with hands-on ownership of data pipelines and schema design.
- Exhibit strong proficiency in Python and SQL, with ability to write clean, efficient code and optimized queries for relational databases.
- Show hands-on experience working with relational databases, particularly Postgres, including data migration and schema management.
- Demonstrate experience designing schemas and building data models that accurately reflect real-world business logic.
- Exhibit familiarity with DBT or similar data transformation frameworks and strong understanding of data validation, testing, and data quality assurance practices.
- Possess familiarity with cloud-based data infrastructure, data orchestration tools, and CI/CD practices for data pipelines and transformations as advantageous experience.