# Senior Data Systems Lead at Octopus Energy

Octopus Energy is hiring a Senior Data Systems Lead. Level rates it Uses AI ●●○○; you can [apply on Octopus Energy](https://jobsbylevel.com/go/49f4bc47-dd3c-4b64-8b62-881212498bc0?utm_medium=ai-agent).

AI Level 2, AI centrality 43 out of 100. London (GB).

## Details

- Company: [Octopus Energy](https://jobsbylevel.com/companies/octopus-energy)
- AI level: AI Level 2 (score 43 out of 100)
- Location: London (GB)
- Posted: September 10, 2026
- Apply: https://jobsbylevel.com/go/49f4bc47-dd3c-4b64-8b62-881212498bc0?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-data-systems-lead-at-octopus-energy-1b519c

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## Description

Help us make a big green dent in the universe. We're on a mission to drive the global renewable energy revolution, and we need many more people to help us make our vision a reality. Octopus Energy Generation (OEGEN) is a leader in sourcing, investing in, and managing a wide range of utility-scale renewable energy assets. As we continue to expand our investment base, we are dedicated to building a diverse team that reflects the communities we serve. Currently, we manage a global portfolio of over £8 billion in renewable energy assets. We are committed to delivering best-in-class responsible investment activity, offering like-minded investors the means and products to invest their capital sustainably. It is our ambition to change the entire energy lifecycle and make every green electron matter, delivering the best outcomes for customers, investors, the environment and society, accelerating the transition to net zero. OEGEN Data, Tech & Transformation Team We are embarking on a comprehensive transformation program designed to drive significant advancements in our business operations and technology landscape. Our primary goal is to transition from our current reliance on legacy systems and specialized off-the-shelf tools to a more integrated, AI-driven, and data-centric operational model. Leveraging insights and guidance from our other technically mature entities like Kraken and OE, we plan to adopt cutting-edge tools and capabilities, particularly in AI and Python-driven solutions. By investing in a diverse range of skills, we aim to create a hybrid team capable of operating in both our legacy and future environments, ultimately transforming OEGEN into an efficient, data-driven organization. We're looking for a Senior Data Systems Lead who can help drive this. What You'll Do Integrate the systems our business runs on - third-party providers, internal tools, our own SharePoint and Microsoft 365 tenant - into our existing Databricks environment, via APIs and existing connectors. Build data products on top of what you connect: well-modelled, documented, reusable datasets that the business consumes directly through Excel, dashboards and natural-language querying, rather than one-off extracts. Design and ship internal applications and AI-enabled tools - using Python, Streamlit , Databricks Apps (HTMX) , Lakebase , FastAPI or similar - that put data and AI directly into the hands of fund management, asset management and finance teams. Prototype, evaluate and productionise new AI capability, from document AI and retrieval to agentic workflows, and turn the ideas that prove out into supported products rather than abandoned experiments. Take an adopt-first approach: work with Octopus Energy Group's data platform and AI teams to reuse capability that already exists, and configure it for OEGEN rather than building parallel versions of it. Set up practical guardrails inside Databricks and Unity Catalog - schema and workspace access, permissions, environment hygiene - so more teams can use it without stepping on each other. Bring cost management from reactive to proactive: tagging, budgets, alerting and usage monitoring, so Databricks and AI token spend can be attributed to the right team, project or fund before the invoice arrives. Get our AI usage properly credentialed and logged - managed keys and access rather than API keys sitting in individual password managers - and provide clean patterns for embedding AI into the tools we build. Standardise how we build and ship internal apps: shared templates, authentication, deployment and documentation, so a tool remains supportable by someone other than the person who wrote it. Consolidate the ad-hoc scripts, spreadsheets and no-code workflows we've accumulated into fewer, better-understood integrations that don't need babysitting, and automate the repetitive parts of our own workflow. Work directly with non-technical teams to understand their problems and translate them into things we can build.

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