Summary
Fuse Energy is an energy startup building an integrated energy business across generation, infrastructure, trading and consumer services. The Database Reliability Engineer will own the reliability, performance and scalability of its database infrastructure, including PostgreSQL and ClickHouse, and build data pipelines and analytical models. The role also involves data migrations, dbt development, quality checks and managing infrastructure changes as code. It is a remote role listed in Dubai, UAE, and asks for 3+ years of relevant experience, strong SQL and Python, and hands-on relational database experience.
The posting
As published on fuseenergy.com. Pulled from the employer's site and shown as they wrote it.
Fuse Energy is an energy startup on a mission to make energy abundant and affordable, fast. We combine first-principles thinking with cutting-edge technology to build a radically better energy system.
We've raised over $200M from top-tier investors including Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, 20VC, Hummingbird and Collaborative Fund, alongside strategic angels including Nico Rosberg and GPs behind Meta, Revolut, Spotify and Uber.
We're building a fully integrated energy company: developing our own solar, batteries and other generation projects, building our own hardware, improving and developing grid infrastructure, trading power in real time, using AI across the business, and installing distributed energy in homes. By selling directly to consumers we cut out the middleman, lower costs and pass the savings on to our customers.
We're hiring a Database Reliability Engineer to own the reliability, performance and scalability of Fuse's data infrastructure. This is a remote role.
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, 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
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
Benefits
- Competitive salary and eligibility for equity
- Biannual bonus scheme
- Fully expensed tech to match your needs
- Private health insurance
- Breakfast and dinner allowance for office-based employees
As we hire globally, benefits vary by location.