Modo Energy
The energy transition is the biggest infrastructure buildout in human history. Modo Energy is the data platform at the centre of it. We build the benchmarking, forecasting, and valuation tools that the world's most serious energy investors, developers, and operators depend on to make decisions. If a battery gets financed, built, or traded anywhere in the world, there's a good chance Modo data was in the room. Founded in 2019, we're 80+ people across London, New York, Sydney, and Madrid; $30M Series B, AI-native, and moving fast. This is a rare chance to join a category-defining company at the moment it's scaling globally. The Role We're hiring a Global Gas Analyst to build an entirely new function at Modo Energy and to become the face of it while you do. Modo Energy already gives 200+ clients the clearest read on battery and power markets anywhere. Gas sits upstream of almost all of it, and right now nobody owns that picture. This role is about building it from scratch: the models, the data, the forecasts, and the research that show our clients how gas is moving and what it means for their portfolios. As our Global Gas Analyst, you'll design the process, put your name on the output, and prove what good looks like. If you've got the market knowledge and you're itching for the chance to build something that's genuinely yours with the autonomy, ownership, and client-facing visibility that a bigger company can't offer, this is that chance. This is a global role, based in London and reporting to the Director of European Product. What You'll Be Doing Build Modo's gas analytics capability from the ground up, including long term gas forecasts out to 2050 to 2060 and core datasets covering European gas storage, LNG, and global production. Publish research that lands with our audience. You'll be judged on the strength of your models and on whether people actually read your work. Get in front of clients directly to explain what's happening in gas markets and what it means for their portfolios. Feed your gas view into Modo's regional power and storage models, working alongside the team as part of our new Global Analytics group (gas and supply chain). What We're Looking For The Essentials 3 to 4 years' experience in gas analytics, from a major commodities house (e.g. Argus, Bloomberg), a gas trading desk, or similar, with enough market knowledge to work independently from day one. This is a sweet spot role: enough experience to have real judgement, not so much that you've already moved into management. An entrepreneurial, self starter mindset. You'll be building this largely on your own, so you need to be comfortable setting your own direction rather than waiting to be told what to do. Something that makes you stand out. That could be a strong academic record, a name brand employer, or a serious personal pursuit. The common thread we're looking for is someone who has shown they can commit to something and see it through to mastery. Working knowledge of data analytics and coding (Python, databases). Modern AI tools have taken some of the weight off this. Deep gas market fluency is the rarer skill, and the one that will set you apart. The confidence to hold your own in client conversations. You'll be the person clients turn to when they want to understand gas. Nice To Have Experience building or maintaining market forecasting models, whether in gas or an adjacent commodity. It shows you can take a forecast from a blank page to something clients rely on, which is exactly what this role asks of you. Some grounding in coal markets. Coal and gas compete for the same slot on the power stack, so understanding one sharpens your read on the other. Not essential, but a genuine plus. A real interest in power, battery storage, or the wider energy transition. Gas connects to all of it, and Modo's clients care about those links. The more of that picture you can see, the more useful your analysis will be to them. Modo Energy is an equal opportunity employer. Employment decisions are made on the basis of qualifications, merit, and business need. We do not discriminate on the basis of race, colour, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, pregnancy, or any other characteristic protected by law. If you require assistance or a reasonable accommodation during the application or interview process, please contact us at . What You Can Expect From Us At Modo Energy, we believe that exceptional work deserves exceptional reward. We're a high-performance team; ambitious, collaborative, and genuinely motivated by the scale of what we're trying to build. You'll have real ownership from day one, work alongside some of the brightest people in the industry, and be part of a company that's defining a new category in the global energy market. We're hybrid: everyone works Tuesday to Thursday in office, with Monday and Friday flexible. We offer top-of-market compensation, equity for every employee, and the space to take your career wherever you want it to go. We're looking for people who want to do the best work of their careers. If that's you, we want to talk.
The energy transition is the biggest infrastructure buildout in human history. Modo Energy is the data platform at the centre of it. We build the benchmarking, forecasting, and valuation tools that the world's most serious energy investors, developers, and operators depend on to make decisions. If a battery gets financed, built, or traded anywhere in the world, there's a good chance Modo data was in the room. Founded in 2019, we're 80+ people across London, New York, Sydney, and Madrid; $30M Series B, AI-native, and moving fast. This is a rare chance to join a category-defining company at the moment it's scaling globally. The Role We're hiring a Global Gas Analyst to build an entirely new function at Modo Energy and to become the face of it while you do. Modo Energy already gives 200+ clients the clearest read on battery and power markets anywhere. Gas sits upstream of almost all of it, and right now nobody owns that picture. This role is about building it from scratch: the models, the data, the forecasts, and the research that show our clients how gas is moving and what it means for their portfolios. As our Global Gas Analyst, you'll design the process, put your name on the output, and prove what good looks like. If you've got the market knowledge and you're itching for the chance to build something that's genuinely yours with the autonomy, ownership, and client-facing visibility that a bigger company can't offer, this is that chance. This is a global role, based in London and reporting to the Director of European Product. What You'll Be Doing Build Modo's gas analytics capability from the ground up, including long term gas forecasts out to 2050 to 2060 and core datasets covering European gas storage, LNG, and global production. Publish research that lands with our audience. You'll be judged on the strength of your models and on whether people actually read your work. Get in front of clients directly to explain what's happening in gas markets and what it means for their portfolios. Feed your gas view into Modo's regional power and storage models, working alongside the team as part of our new Global Analytics group (gas and supply chain). What We're Looking For The Essentials 3 to 4 years' experience in gas analytics, from a major commodities house (e.g. Argus, Bloomberg), a gas trading desk, or similar, with enough market knowledge to work independently from day one. This is a sweet spot role: enough experience to have real judgement, not so much that you've already moved into management. An entrepreneurial, self starter mindset. You'll be building this largely on your own, so you need to be comfortable setting your own direction rather than waiting to be told what to do. Something that makes you stand out. That could be a strong academic record, a name brand employer, or a serious personal pursuit. The common thread we're looking for is someone who has shown they can commit to something and see it through to mastery. Working knowledge of data analytics and coding (Python, databases). Modern AI tools have taken some of the weight off this. Deep gas market fluency is the rarer skill, and the one that will set you apart. The confidence to hold your own in client conversations. You'll be the person clients turn to when they want to understand gas. Nice To Have Experience building or maintaining market forecasting models, whether in gas or an adjacent commodity. It shows you can take a forecast from a blank page to something clients rely on, which is exactly what this role asks of you. Some grounding in coal markets. Coal and gas compete for the same slot on the power stack, so understanding one sharpens your read on the other. Not essential, but a genuine plus. A real interest in power, battery storage, or the wider energy transition. Gas connects to all of it, and Modo's clients care about those links. The more of that picture you can see, the more useful your analysis will be to them. Modo Energy is an equal opportunity employer. Employment decisions are made on the basis of qualifications, merit, and business need. We do not discriminate on the basis of race, colour, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, pregnancy, or any other characteristic protected by law. If you require assistance or a reasonable accommodation during the application or interview process, please contact us at . What You Can Expect From Us At Modo Energy, we believe that exceptional work deserves exceptional reward. We're a high-performance team; ambitious, collaborative, and genuinely motivated by the scale of what we're trying to build. You'll have real ownership from day one, work alongside some of the brightest people in the industry, and be part of a company that's defining a new category in the global energy market. We're hybrid: everyone works Tuesday to Thursday in office, with Monday and Friday flexible. We offer top-of-market compensation, equity for every employee, and the space to take your career wherever you want it to go. We're looking for people who want to do the best work of their careers. If that's you, we want to talk.
Modo Energy
The energy transition is the biggest infrastructure buildout in human history. Modo Energy is the data platform at the centre of it. We build the benchmarking, forecasting, and valuation tools that the world's most serious energy investors, developers, and operators depend on to make decisions. If a battery gets financed, built, or traded anywhere in the world, there's a good chance Modo data was in the room. Founded in 2019, we're 90+ people across London, New York, Sydney, and Madrid; $30M Series B, AI-native, and moving fast. This is a rare chance to join a category-defining company at the moment it's scaling globally. The Role Modo Energy's engineering team builds the systems behind the Modo Terminal, the data, research, and agentic platform that energy market professionals rely on every day. We're growing fast, and our ambitions are growing faster: from serving data and research to letting users (and their AI agents) query, forecast, and act on it directly. We're hiring backend Python engineers to join one of our product teams: Terminal, Data, Ko (our AI Analyst), or Modelling. Each team owns a business capability end-to-end, including its own APIs, data pipelines, AWS infrastructure, and developer tooling. Wherever you land, you'll be building production systems from day one, with ownership over what you ship and how. We're looking for engineers who learn fast and go wide. You won't be boxed into a single layer of the stack; the best people on our teams move fluidly between building a feature, hardening a pipeline, fixing an infra issue, and automating away the next one. If you're the kind of engineer who picks up a new tool, library, or part of the codebase without needing much of a runway, this is built for you. What You'll Do Build and maintain backend services and APIs, on Django, FastAPI, or similar, that power a live product used daily by energy market professionals. Design and operate data pipelines that ingest, transform, and serve energy market data reliably and at scale. Own AWS infrastructure and deployment end-to-end using Terraform, from local development through to production. Build the monitoring, observability, and alerting that let your team catch problems before customers do. Split your time between shipping new features and keeping the platform healthy. Maintenance, performance, and production issues are a normal, expected part of the job, not an interruption to it. Design internal tools such as CLIs, APIs, and MCP servers that make your team and others faster, and that let both humans and AI agents work with our data safely and effectively. Work directly with the people who understand the domain (energy analysts, data scientists, modellers) to make sure what you build is accurate and actually useful. Contribute to the infrastructure behind our LLM-powered AI Analyst as needed: retrieval pipelines, tool-calling, and the plumbing that lets models work with real energy market data. Cross into the parts of the stack outside your core comfort zone when the team needs it, whether that's a bit of frontend or a bit of deeper infra, and pick up what you don't already know. What We're Looking For The Essentials 3+ years of professional Python experience, with strong backend fundamentals. You write clean, well-structured code and are comfortable owning something end-to-end, from design through deployment and monitoring. Real, hands-on experience with AWS and infrastructure-as-code (Terraform). You've run production infrastructure, not just experimented with it. Proficiency with Django, FastAPI, or a comparable async Python framework. Experience with data pipelines and relational databases (PostgreSQL), and building systems that serve data reliably at scale. Expert-level use of AI coding tools (Cursor, Claude Code, GitHub Copilot, or similar). You know when to trust them, when to intervene, and how to get real leverage from them. We write a lot of code this way. A fast learner with good judgement, comfortable making calls on system design and what's good enough to ship, and genuinely energized by picking up unfamiliar tools, stacks, or problem areas rather than staying in one lane. Comfortable in a small, fast-moving team where you're expected to figure things out, make trade-offs, and ship, with real autonomy over how. Nice to have Experience with LLM-powered applications: RAG pipelines, tool-calling architectures, or agentic systems. Experience designing external-facing APIs, including versioning, backwards compatibility, and OpenAPI/REST standards. Familiarity with data infrastructure such as Airflow, Spark, Iceberg, or Kafka. Experience with energy markets. Modo Energy is an equal opportunity employer. Employment decisions are made on the basis of qualifications, merit, and business need. We do not discriminate on the basis of race, colour, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, pregnancy, or any other characteristic protected by law. If you require assistance or a reasonable accommodation during the application or interview process, please contact us at . What You Can Expect From Us At Modo Energy, we believe that exceptional work deserves exceptional reward. We're a high-performance team; ambitious, collaborative, and genuinely motivated by the scale of what we're trying to build. You'll have real ownership from day one, work alongside some of the brightest people in the industry, and be part of a company that's defining a new category in the global energy market. We're hybrid: everyone works Tuesday to Thursday in office, with Monday and Friday flexible. We offer top-of-market compensation, equity for every employee, and the space to take your career wherever you want it to go. We're looking for people who want to do the best work of their careers. If that's you, we want to talk.
The energy transition is the biggest infrastructure buildout in human history. Modo Energy is the data platform at the centre of it. We build the benchmarking, forecasting, and valuation tools that the world's most serious energy investors, developers, and operators depend on to make decisions. If a battery gets financed, built, or traded anywhere in the world, there's a good chance Modo data was in the room. Founded in 2019, we're 90+ people across London, New York, Sydney, and Madrid; $30M Series B, AI-native, and moving fast. This is a rare chance to join a category-defining company at the moment it's scaling globally. The Role Modo Energy's engineering team builds the systems behind the Modo Terminal, the data, research, and agentic platform that energy market professionals rely on every day. We're growing fast, and our ambitions are growing faster: from serving data and research to letting users (and their AI agents) query, forecast, and act on it directly. We're hiring backend Python engineers to join one of our product teams: Terminal, Data, Ko (our AI Analyst), or Modelling. Each team owns a business capability end-to-end, including its own APIs, data pipelines, AWS infrastructure, and developer tooling. Wherever you land, you'll be building production systems from day one, with ownership over what you ship and how. We're looking for engineers who learn fast and go wide. You won't be boxed into a single layer of the stack; the best people on our teams move fluidly between building a feature, hardening a pipeline, fixing an infra issue, and automating away the next one. If you're the kind of engineer who picks up a new tool, library, or part of the codebase without needing much of a runway, this is built for you. What You'll Do Build and maintain backend services and APIs, on Django, FastAPI, or similar, that power a live product used daily by energy market professionals. Design and operate data pipelines that ingest, transform, and serve energy market data reliably and at scale. Own AWS infrastructure and deployment end-to-end using Terraform, from local development through to production. Build the monitoring, observability, and alerting that let your team catch problems before customers do. Split your time between shipping new features and keeping the platform healthy. Maintenance, performance, and production issues are a normal, expected part of the job, not an interruption to it. Design internal tools such as CLIs, APIs, and MCP servers that make your team and others faster, and that let both humans and AI agents work with our data safely and effectively. Work directly with the people who understand the domain (energy analysts, data scientists, modellers) to make sure what you build is accurate and actually useful. Contribute to the infrastructure behind our LLM-powered AI Analyst as needed: retrieval pipelines, tool-calling, and the plumbing that lets models work with real energy market data. Cross into the parts of the stack outside your core comfort zone when the team needs it, whether that's a bit of frontend or a bit of deeper infra, and pick up what you don't already know. What We're Looking For The Essentials 3+ years of professional Python experience, with strong backend fundamentals. You write clean, well-structured code and are comfortable owning something end-to-end, from design through deployment and monitoring. Real, hands-on experience with AWS and infrastructure-as-code (Terraform). You've run production infrastructure, not just experimented with it. Proficiency with Django, FastAPI, or a comparable async Python framework. Experience with data pipelines and relational databases (PostgreSQL), and building systems that serve data reliably at scale. Expert-level use of AI coding tools (Cursor, Claude Code, GitHub Copilot, or similar). You know when to trust them, when to intervene, and how to get real leverage from them. We write a lot of code this way. A fast learner with good judgement, comfortable making calls on system design and what's good enough to ship, and genuinely energized by picking up unfamiliar tools, stacks, or problem areas rather than staying in one lane. Comfortable in a small, fast-moving team where you're expected to figure things out, make trade-offs, and ship, with real autonomy over how. Nice to have Experience with LLM-powered applications: RAG pipelines, tool-calling architectures, or agentic systems. Experience designing external-facing APIs, including versioning, backwards compatibility, and OpenAPI/REST standards. Familiarity with data infrastructure such as Airflow, Spark, Iceberg, or Kafka. Experience with energy markets. Modo Energy is an equal opportunity employer. Employment decisions are made on the basis of qualifications, merit, and business need. We do not discriminate on the basis of race, colour, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, pregnancy, or any other characteristic protected by law. If you require assistance or a reasonable accommodation during the application or interview process, please contact us at . What You Can Expect From Us At Modo Energy, we believe that exceptional work deserves exceptional reward. We're a high-performance team; ambitious, collaborative, and genuinely motivated by the scale of what we're trying to build. You'll have real ownership from day one, work alongside some of the brightest people in the industry, and be part of a company that's defining a new category in the global energy market. We're hybrid: everyone works Tuesday to Thursday in office, with Monday and Friday flexible. We offer top-of-market compensation, equity for every employee, and the space to take your career wherever you want it to go. We're looking for people who want to do the best work of their careers. If that's you, we want to talk.