(Senior) Data Systems Lead

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. About the role The tools are already here. Like the rest of OE Group, OEGEN runs on Databricks, we're moving onto our own Microsoft 365 tenant, and Octopus Energy Group gives us access to a powerful set of shared data and AI capabilities. What we're missing is someone whose job is to make all of it work together for our Fund Management business - and then build genuinely useful things on top of it. This is a two-sided role. On one side, you'll integrate: wiring third-party systems, internal apps and document storage into the environment we already have, setting sensible guardrails around access and cost, and adopting existing Group capability wherever it does the job rather than rebuilding it. On the other, you'll build: turning those connections into data products, internal tools and AI-enabled workflows that fund management, asset management and finance use every day. Tying the two together, you'll develop and own the playbook - the documented, repeatable patterns for how a new system gets connected, how a tool gets built and shipped, and how both get supported afterwards - so that what you learn once becomes how the whole team works. The two halves feed each other: you'll understand what's possible because you built the plumbing, and you'll build better plumbing because you know what people actually do with it. We want someone with genuine ideas about where AI can take a business like ours, and the pragmatism to ship them. Our team has already built an Excel data mart plugin that puts gold-layer tables directly in the hands of non-technical staff, a metrics taxonomy app that keeps third-party definitions aligned with our own, and AI-assisted workflows that scaffold documentation automatically. There's a long list of things we haven't got to yet. Expect roughly half your time on integration and enablement and half on building, and expect to work closely with the central data platform team so what we do in OEGEN stays consistent with the wider estate and our specific needs get onto their roadmap. What You'll Do • Integrate the system