Python Engineer (TerminalModellingData)

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 worlds most serious energy investors developers and operators depend on to make decisions. If a battery gets financed built or traded anywhere in the world theres a good chance Modo data was in the room.

Founded in 2019 were 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 its scaling globally.

Modo Energys engineering team builds the systems behind the Modo Terminal the data research and agentic platform that energy market professionals rely on every day. Were 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.

Were 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 youll be building production systems from day one with ownership over what you ship and how.

Were looking for engineers who learn fast and go wide. You wont 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 youre 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.

• 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 thats a bit of frontend or a bit of deeper infra and pick up what you dont already know.

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). Youve 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 whats 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 youre 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

At Modo Energy we believe that exceptional work deserves exceptional reward. Were a high-performance team; ambitious collaborative and genuinely motivated by the scale of what were trying to build.

Youll have real ownership from day one work alongside some of the brightest people in the industry and be part of a company thats defining a new category in the global energy market. Were 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.

Were looking for people who want to do the best work of their careers. If thats you we want to talk.