Database Reliability Engineer

🏢 Fuse Energy
📍 Dubai, United Arab EmiratesFull-timeRemote
📅 Posted: 2mo ago🔄 Updated: 2mo ago
CV%
✨ AI Summary
Fuse Energy, a renewable energy startup, is seeking a Database Reliability Engineer to own the reliability, performance, and scalability of their database infrastructure, primarily focusing on Postgres and ClickHouse. This role involves building and maintaining data pipelines, designing analytical schemas, migrating data, and implementing data quality checks. The ideal candidate will have 3+ years of experience in backend or data-focused engineering, with strong SQL and Python skills, and experience with relational databases and IaC tooling.
Required Skills
Information Technology
SQLPythonPostgreSQLdbtInfrastructure as Code
Nice to have:
Other
ClickHouseDagsterAWS Step Functions
Information Technology
CI/CD
🎁 Benefits & Perks
  • Competitive salary and an equity sign-on bonus
  • Biannual bonus scheme
  • Fully expensed tech to match your needs
  • Paid annual leave
  • Breakfast and dinner allowance for office based employees
Requirements
3+ years of experience in a backend engineering or data-focused engineering roleWrites the cleanest SQL you've ever seen — proficiency in Python and SQL is non-negotiableHands-on experience with relational databases, particularly PostgresExperience designing schemas and building data models that reflect real-world business logicFamiliarity with DBT or similar data transformation frameworksStrong understanding of data validation, testing, and quality assurance practicesManages all infrastructure through IaC tooling (Pulumi, AWS CDK) — treats the database as code, not a manual systemGrasps new business domains quickly — able to translate unfamiliar logic into clean, intuitive data models without hand-holdingBonusExperience with ClickHouse or columnar databasesFamiliarity with cloud-based data orchestration tools (Dagster, Step Functions)CI/CD practices for data pipelines and transformationsExperience operating databases at scale in a production environment
Description
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 raised $210M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more.We’re creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers.But we’re not stopping there. We’re also building the Energy Network: a decentralised platform of smart devices to electrify our homes, shifting usage to off-peak hours and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries. ResponsibilitiesOwn the reliability, performance, and scalability of Fuse's database infrastructure across Postgres and ClickHouseBuild and maintain scalable, reliable data pipelines to support analytics, reporting, and product needsOwn the design and evolution of analytical schemas, translating business logic into structured, intuitive data modelsMigrate and transform data from Postgres into ClickHouse, ensuring performance and reliabilityDevelop and maintain DBT models that reflect our business domain and make data easily accessible for teamsImplement tests and data quality checks to ensure reliable and trustworthy datasetsIdentify and eliminate duplicates, improve data consistency, and enforce clean modelling standardsManage all database and infrastructure changes through IaC — minimise direct DB modifications
✨ Premium Match Details
Deep-dive CV analysis, customized Cover Letters, and Interview prep!
📊 Match Analysis
Insights against your active CV
📊
Personalized Match Analysis
Upload your CV to see exact matching percentages, detailed skills mapping, and gap analysis for this role.
🎯 Overalli74%
⚡ Skillsi85%
View Breakdown
Ontology Match: 85.0
Matched:✓ Requirements Matching✓ Ontology Skills Mapping
📜 Eligibilityi49%
View Breakdown
Local: 19600%
🏗️ Career Fiti91%
View Breakdown
Seniority: 91.0
📋 Requirementsi67%
View Breakdown
Domain: 67.0
🔥 Motivationi78%
View Breakdown
Title Fit: 78.00