Qureos Mentor

Fuse Energy

Fuse Energy is a full stack energy company focused on lowering the cost of energy and accelerating energy abundance. Founded in 2022 and headquartered in London, the company has raised $210 million from top-tier investors. With a commitment to renewable energy, Fuse Energy generates solar electricity and aims to build more solar capacity while hiring globally across various roles.

<div>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&rsquo;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&rsquo;re not stopping there. We&rsquo;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. 
 
Responsibilities<ul><li><ul><li><ul><li>
Own the reliability, performance, and scalability of Fuse's database infrastructure across Postgres and ClickHouse</li><li>
Build and maintain scalable, reliable data pipelines to support analytics, reporting, and product needs</li><li>
Own the design and evolution of analytical schemas, translating business logic into structured, intuitive data models</li><li>
Migrate and transform data from Postgres into ClickHouse, ensuring performance and reliability</li><li>
Develop and maintain DBT models that reflect our business domain and make data easily accessible for teams</li><li>
Implement tests and data quality checks to ensure reliable and trustworthy datasets</li><li>
Identify and eliminate duplicates, improve data consistency, and enforce clean modelling standards</li><li>
Manage all database and infrastructure changes through IaC &mdash; minimise direct DB modifications</li></ul></li></ul></li></ul> 

Requirements 
<ul><li><ul><li>
3+ years of experience in a backend engineering or data-focused engineering role</li><li>
Writes the cleanest SQL you've ever seen &mdash; proficiency in Python and SQL is non-negotiable</li><li>
Hands-on experience with relational databases, particularly Postgres</li><li>
Experience designing schemas and building data models that reflect real-world business logic</li><li>
Familiarity with DBT or similar data transformation frameworks</li><li>
Strong understanding of data validation, testing, and quality assurance practices</li><li>
Manages all infrastructure through IaC tooling (Pulumi, AWS CDK) &mdash; treats the database as code, not a manual system</li><li>
Grasps new business domains quickly &mdash; able to translate unfamiliar logic into clean, intuitive data models without hand-holding</li></ul></li></ul>
Bonus<ul><li><ul><li>
Experience with ClickHouse or columnar databases</li><li>
Familiarity with cloud-based data orchestration tools (Dagster, Step Functions)</li><li>
CI/CD practices for data pipelines and transformations</li><li>
Experience operating databases at scale in a production environment</li></ul></li></ul> 

Benefits 
<ul><li>
Competitive salary and an equity sign-on bonus</li><li>
Biannual bonus scheme</li><li>
Fully expensed tech to match your needs</li><li>
Paid annual leave</li><li>
Breakfast and dinner allowance for office based employees</li></ul></div>

Database Reliability Engineer

<div>
 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.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Own the reliability, performance, and scalability of Fuse's database infrastructure across Postgres and ClickHouse
 </li>
 <li>
 Build and maintain scalable, reliable data pipelines to support analytics, reporting, and product needs
 </li>
 <li>
 Own the design and evolution of analytical schemas, translating business logic into structured, intuitive data models
 </li>
 <li>
 Migrate and transform data from Postgres into ClickHouse, ensuring performance and reliability
 </li>
 <li>
 Develop and maintain DBT models that reflect our business domain and make data easily accessible for teams
 </li>
 <li>
 Implement tests and data quality checks to ensure reliable and trustworthy datasets
 </li>
 <li>
 Identify and eliminate duplicates, improve data consistency, and enforce clean modelling standards
 </li>
 <li>
 Manage all database and infrastructure changes through IaC &mdash; minimise direct DB modifications
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 3+ years of experience in a backend engineering or data-focused engineering role
 </li>
 <li>
 Writes the cleanest SQL you've ever seen &mdash; proficiency in Python and SQL is non-negotiable
 </li>
 <li>
 Hands-on experience with relational databases, particularly Postgres
 </li>
 <li>
 Experience designing schemas and building data models that reflect real-world business logic
 </li>
 <li>
 Familiarity with DBT or similar data transformation frameworks
 </li>
 <li>
 Strong understanding of data validation, testing, and quality assurance practices
 </li>
 <li>
 Manages all infrastructure through IaC tooling (Pulumi, AWS CDK) &mdash; treats the database as code, not a manual system
 </li>
 <li>
 Grasps new business domains quickly &mdash; able to translate unfamiliar logic into clean, intuitive data models without hand-holding
 
 
 </li>
 </ul>
 
 Bonus
 
 
 
 <ul>
 <li>
 Experience with ClickHouse or columnar databases
 </li>
 <li>
 Familiarity with cloud-based data orchestration tools (Dagster, Step Functions)
 </li>
 <li>
 CI/CD practices for data pipelines and transformations
 </li>
 <li>
 Experience operating databases at scale in a production environment
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Competitive salary and an equity sign-on bonus
 </li>
 <li>
 Biannual bonus scheme
 </li>
 <li>
 Fully expensed tech to match your needs
 </li>
 <li>
 Paid annual leave
 </li>
 <li>
 Breakfast and dinner allowance for office based employees
 </li>
 </ul>
</div>

<div>
 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.
 
 
 We're now looking to establish a cutting-edge AI team. As an Applied AI Engineer, this position is ideal for someone who possesses the technical expertise of a backend engineer but is specifically interested in applied AI and how it can be used to enhance the energy experience for our customers and our internal operations. You'll be working on a variety of exciting projects, including consumer-focused features like the Energy Co-Pilot and the Speedy Onboarding process (leveraging tools such as VLM/LLM). You will also collaborate across teams to build AI tools that enhance productivity and streamline processes within Fuse.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop and deploy AI-powered features that directly impact consumer experiences, including personalised energy recommendations and seamless onboarding via AI models (e.g. using energy bills for quick setup)
 </li>
 <li>
 Build and optimise internal AI tools that will make the whole company more productive with a focus on automation and enhancing workflows
 </li>
 <li>
 Collaborate with backend engineers and data scientists to integrate AI-driven features into our platforms
 </li>
 <li>
 Collaborate with the trading and operations teams to ensure AI models are aligned with real-time market conditions and energy pricing
 </li>
 <li>
 Improve AI models to optimise trading strategies by anticipating market shifts based on weather and demand forecasts
 </li>
 <li>
 Stay up to date with the latest advancements in applied AI and machine learning and apply them to solve real-world problems within the energy space
 </li>
 <li>
 Monitor the performance of AI tools and models, ensuring they are functioning efficiently and effectively
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Minimum 3 years of engineering experience
 </li>
 <li>
 Proven experience as a Backend Engineer with a strong interest and practical experience in applied AI or machine learning
 </li>
 <li>
 Strong programming skills in Python (or similar languages) with familiarity in AI/ML libraries (TensorFlow, PyTorch, etc.)
 </li>
 <li>
 Experience working with large-scale models (LLMs/VLMs) and deploying AI-driven solutions into production
 </li>
 <li>
 Solid understanding of cloud technologies, containerisation and building scalable AI applications
 </li>
 <li>
 Ability to integrate AI/ML models into real-world applications, focusing on usability and performance
 </li>
 <li>
 Strong problem-solving skills and a practical approach to implementing AI solutions in a fast-paced environment
 </li>
 <li>
 Experience working with large datasets, particularly in relation to demand and supply forecasting
 
 
 </li>
 </ul>
 
 Bonus
 
 
 
 <ul>
 <li>
 Experience or strong interest in energy markets and trading strategies
 </li>
 <li>
 Understanding of weather forecasting, energy demand patterns, and production modelling
 </li>
 <li>
 Exposure to Natural Language Processing (NLP) or other related fields
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Competitive salary and an equity sign-on bonus
 </li>
 <li>
 Biannual bonus scheme
 </li>
 <li>
 Fully expensed tech to match your needs
 </li>
 <li>
 Paid annual leave
 </li>
 <li>
 Breakfast and dinner allowance for office based employees
 </li>
 </ul>
</div>

Applied AI Engineer

<div>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&rsquo;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&rsquo;re not stopping there. We&rsquo;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. 
 
We're now looking to establish a cutting-edge AI team. As an Applied AI Engineer, this position is ideal for someone who possesses the technical expertise of a backend engineer but is specifically interested in applied AI and how it can be used to enhance the energy experience for our customers and our internal operations. You'll be working on a variety of exciting projects, including consumer-focused features like the Energy Co-Pilot and the Speedy Onboarding process (leveraging tools such as VLM/LLM). You will also collaborate across teams to build AI tools that enhance productivity and streamline processes within Fuse. 
 
Responsibilities<ul><li>
Design, develop and deploy AI-powered features that directly impact consumer experiences, including personalised energy recommendations and seamless onboarding via AI models (e.g. using energy bills for quick setup)</li><li>
Build and optimise internal AI tools that will make the whole company more productive with a focus on automation and enhancing workflows</li><li>
Collaborate with backend engineers and data scientists to integrate AI-driven features into our platforms</li><li>
Collaborate with the trading and operations teams to ensure AI models are aligned with real-time market conditions and energy pricing</li><li>
Improve AI models to optimise trading strategies by anticipating market shifts based on weather and demand forecasts</li><li>
Stay up to date with the latest advancements in applied AI and machine learning and apply them to solve real-world problems within the energy space</li>
Monitor the performance of AI tools and models, ensuring they are functioning efficiently and effectively 
<li>
</li></ul> 
 
Requirements 
<ul><li>
Minimum 3 years of engineering experience</li><li>
Proven experience as a Backend Engineer with a strong interest and practical experience in applied AI or machine learning</li><li>
Strong programming skills in Python (or similar languages) with familiarity in AI/ML libraries (TensorFlow, PyTorch, etc.)</li><li>
Experience working with large-scale models (LLMs/VLMs) and deploying AI-driven solutions into production</li><li>
Solid understanding of cloud technologies, containerisation and building scalable AI applications</li><li>
Ability to integrate AI/ML models into real-world applications, focusing on usability and performance</li><li>
Strong problem-solving skills and a practical approach to implementing AI solutions in a fast-paced environment</li><li>
Experience working with large datasets, particularly in relation to demand and supply forecasting</li></ul>
Bonus<ul><li>
Experience or strong interest in energy markets and trading strategies</li><li>
Understanding of weather forecasting, energy demand patterns, and production modelling</li><li>
Exposure to Natural Language Processing (NLP) or other related fields</li></ul> 

Benefits 
<ul><li>
Competitive salary and an equity sign-on bonus</li><li>
Biannual bonus scheme</li><li>
Fully expensed tech to match your needs</li><li>
Paid annual leave</li><li>
Breakfast and dinner allowance for office based employees</li></ul></div>

<div>Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We&rsquo;re combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $170M 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&rsquo;re creating a fully integrated energy company: from developing energy generation 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.
We are looking for a hands-on and technically skilled 2nd Line IT Engineer to keep Fuse running at full speed. You will own the day-to-day technical environment across two office locations, ensuring our applications, infrastructure and end-user hardware operate reliably so we can focus on building the future of energy. The ideal candidate is a problem-solver who thrives in a fast-paced environment and is comfortable owning issues end-to-end, from Google Workspace to a firewall policy change. 
Responsibilities
You will manage the applications, workspaces and hardware that our team relies on every day and will work closely with the wider IT and engineering teams to operate, automate, and grow our IT environment.<ul><li>
Work across our London-based offices, external sites and our growing cloud presence</li><li>
Administer SaaS applications including but not limited to, Google Workspace, Iru, Revolut people, Linear</li><li>
Use AI tooling to automate manual IT related tasks.</li><li>
Own all office hardware problems: laptops, meeting room AV and printers</li><li>
Provide 2nd line it support and assist in onboarding/offboarding staff</li></ul> 

Requirements 
<ul><li>
Proven 2nd line IT experience</li><li>
Experience working in a fast moving SaaS based IT environment</li><li>
Scripting ability in one or more languages, (Python, Bash etc)</li><li>
Confident supporting end-user hardware (Windows/macOS)</li><li>
Good debugging skills and willingness to pick up unfamiliar tasks</li></ul>
Desirable<ul><li>
AWS cloud experience or cloud certifications</li><li>
Strong grasp of core networking (TCP/IP, routing, switching, VLANs, VPNs, Wi-Fi)</li><li>
Networking or security certifications (e.g. CCNP, Fortinet NSE)</li><li>
Bachelor's degree in a related field</li></ul> 

Benefits 
<ul><li>
Biannual bonus scheme</li><li>
Fully expensed tech to match your needs</li><li>
Paid annual leave</li><li>
Breakfast and dinner allowance for office based employees</li></ul></div>

2nd Line IT Engineer (IT Operations)

Join Fuse Energy and explore 10   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Fuse Energy

About Company

Database Reliability Engineer

Database Reliability Engineer

Database Reliability Engineer

Applied AI Engineer

Applied AI Engineer

Applied AI Engineer

2nd Line IT Engineer (IT Operations)