Python Engineer (Terminal/Modelling/Data)

Modo Energy; Greater London; Hybrid; GBP 70,000 - 120,000; Full time

Benefits offered by this job

Equity for every employee

Top-of-market compensation

Hybrid work model (Tue–Thu in office)

Job summary

Modo Energy is hiring backend Python engineers to join one of our product teams (Terminal, Data, Ko, or Modelling) and own production systems from day one.

You'll design, build, and maintain APIs and data pipelines, own AWS infrastructure with Terraform, and collaborate with energy analysts and data scientists to deliver reliable, scalable software for energy markets.

We value fast learners, autonomy, and a bias for shipping quality features, with a hybrid schedule and equity rewards.

Qualifications

• 3+ years of professional Python experience with end-to-end ownership.
• Hands-on AWS and infrastructure-as-code (Terraform) experience.
• Proficiency with Django, FastAPI, or similar frameworks.
• Experience with data pipelines and PostgreSQL for scalable data services.
• Expert-level use of AI coding tools (Cursor, Claude Code, GitHub Copilot).
• Fast learner who can design systems and ships with good judgement.
• Comfortable in a small, fast-moving team with autonomy.

Responsibilities

• Build and maintain backend services and APIs powering a live product.
• Design and operate data pipelines ingesting energy market data.
• Own AWS infrastructure and deployment end-to-end using Terraform.
• Build monitoring and observability to catch issues early.
• Balance feature shipping with platform health and reliability.
• Design internal tools like CLIs and APIs to improve team speed.
• Collaborate with domain experts to ensure accuracy and usefulness.
• Support AI Analyst with retrieval pipelines and tool-calling.

Skills

Python

AWS

Django/FastAPI

PostgreSQL

Data pipelines

AI coding tools

Terraform

End-to-end ownership

Tools

Terraform

GitHub Copilot

Cursor

Claude Code

Job description

About 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

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.

The Essentials

What We’re Looking For

• 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.

Equal Opportunity

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 [e-mail].

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.