About the Role
<p><strong>Job title: </strong>Analytics Engineering Lead<br><strong>Location:</strong> London / Bristol / Edinburgh (Hybrid - 3 days in office)<br><strong>Salary: </strong>£90,000 - £114,000<br><strong>Team:</strong> Data</p> <p>This role is based in London, Bristol or Edinburgh and requires existing right to work in the UK.<br>At this time, we are not able to offer visa sponsorship for this role. We are committed to building a diverse, global team and our sponsorship policy is evaluated on a role-by-role basis. We encourage you to keep an eye on our careers site to stay informed about future opportunities where we are able to offer visa sponsorship.</p> <p><a href="https://www.kaluza.com/" target="_blank">Kaluza</a> is the Energy Intelligence Platform, turning energy complexity into seamless coordination. We help energy companies overcome today’s challenges while accelerating the shift to a clean, electrified future.</p> <p>Our platform orchestrates millions of real-time decisions across homes, devices, markets and grids. By combining predictive algorithms with human-centred design, Kaluza makes clean energy dependable, affordable and adaptive to everyday life.</p> <p><br>With teams across Europe, North America, Asia and Australia, and a joint venture with Mitsubishi Corporation in Japan, we power leading companies including OVO, AGL and ENGIE, as well as innovators like Volvo and Volkswagen.</p> <p><br><strong>What will I be doing?</strong></p> <p class="font-claude-response-body break-words whitespace-normal leading-[1.7]">As a Analytics Engineer Lead, you'll set the gold standard for our data practices at Kaluza. You'll be the architect responsible for making our data scalable, reliable, and built on modern best practices — driving the strategy behind our data models and bridging the gap between high-level business goals and technical reality.</p> <p class="font-claude-response-body break-words whitespace-normal leading-[1.7]">You'll define and enforce engineering best practices (CI/CD, modularity) across the data organisation, develop advanced modelling solutions for complex scenarios, and research and implement modern data stack tooling. You'll own the long-term vision for data modelling, design and implement data governance frameworks, and act as lead responder for GDPR-related incidents. Working cross-functionally, you'll partner with Product to shape the Analytics Engineering Roadmap, translate complex business needs into technical requirements, and champion a data-driven culture across Kaluza.</p> <p><br><strong>About You </strong></p> <p>Ideally you’ll have/be</p> <ul> <li class="whitespace-normal break-words pl-2">Expert-level proficiency in SQL and dbt, with a strong focus on writing clean, reusable, and testable code</li> <li class="whitespace-normal break-words pl-2">Mastery of dimensional data modelling and the ability to develop solutions for highly complex scenarios</li> <li class="whitespace-normal break-words pl-2">Proven ability to drive adoption of new standards, patterns, and tools across multiple teams without direct authority</li> <li class="whitespace-normal break-words pl-2">Exceptional communication skills — able to explain technical concepts clearly to non-technical stakeholders and senior business leaders</li> <li class="whitespace-normal break-words pl-2">Strong stakeholder management experience, with the ability to extract core requirements and identify the source of truth in complex, cross-functional environments</li> <li class="whitespace-normal break-words pl-2">A deep, end-to-end understanding of the data lifecycle, from ingestion and transformation through to consumption</li> </ul> <p><strong>What will set you apart </strong></p> <ul> <li class="whitespace-normal break-words pl-2">Experience owning and driving a long-term data modelling strategy, not just contributing to one</li> <li class="whitespace-normal break-words pl-2">Hands-on experience designing and implementing data governance frameworks</li> <li class="whitespace-normal break-words pl-2">Experience acting as a lead responder for GDPR or data privacy incidents</li> <li class="whitespace-normal break-words pl-2">A track record of leading rapid proof of concepts to validate new technologies or approaches</li> <li class="whitespace-normal break-words pl-2">Experience contributing to broader data org strategy and influencing data c