Fuse Energy
Database Reliability Engineer
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Database Reliability Engineer
Senior Data & Database Engineer - Fuse Energy
Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy — fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We’ve raised $210M from leading investors including Multicoin, Balderton, Lakestar, Accel, and strategic backers like Nico Rosberg, who also co-founded Solana. Alongside industry-leading general partners from Meta, Revolut, Spotify, Uber, and more, we’re building a fully integrated energy company: from solar/wind/hydrogen projects, real-time power trading, and distributed energy, to an innovative Energy Network that decentralises smart devices for off-peak electrification.
By cutting the middleman, reducing costs, and streamlining direct-to-consumer sales, we secure savings and seamless grid stability—critical for scaling industries like AI data centers.
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### Responsibilities
Own the reliability, performance, and scalability of Fuse’s database infrastructure across:
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Postgres and ClickHouse
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Build and maintain scalable, reliable data pipelines supporting analytics, reporting, and product needs.
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Design and evolve analytical schemas, translating business logic into structured, intuitive data models.
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Migrate and transform data from Postgres into ClickHouse, ensuring performance and reliability.
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Develop and maintain DBT models for business domain clarity, making data easily accessible across teams.
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Implement tests and data quality checks to ensure trustworthy datasets.
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Identify duplicates, improve consistency, and enforce clean modelling standards.
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Manage all database and infrastructure changes via IaC (infrastructure-as-code), minimizing manual DB modifications.
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### Requirements
Core:
- 3+ years in a backend engineering or data-focused engineering role.
- Expertise in clean SQL and Python (non-negotiable).
- Hands-on Postgres experience.
- Ability to design schemas that reflect real-world business logic.
- Familiarity with DBT (or similar data transformation frameworks).
Great-to-have:
- Experience with columnar databases (ClickHouse).
- Cloud-based data orchestration tools (Dagster, Step Functions).
- CI/CD practices for data pipelines & transformations.
- Scaling databases at production level.
### Benefits
- Competitive salary and equity sign-on bonus
- Biannual bonus scheme
- Fully expensed tech allowance
- Generous paid annual leave
- Office-based employees: Breakfast & dinner allowance
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